Dataset statistics
| Number of variables | 59 |
|---|---|
| Number of observations | 20 |
| Missing cells | 590 |
| Missing cells (%) | 50.0% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 18.4 KiB |
| Average record size in memory | 943.9 B |
Variable types
| Text | 3 |
|---|---|
| Categorical | 26 |
| Numeric | 30 |
PAQ_A-Season has constant value "Summer" | Constant |
PAQ_A-PAQ_A_Total has constant value "1.04" | Constant |
BIA-BIA_Activity_Level_num is highly overall correlated with BIA-BIA_BMC and 16 other fields | High correlation |
BIA-BIA_BMC is highly overall correlated with BIA-BIA_Activity_Level_num and 26 other fields | High correlation |
BIA-BIA_BMI is highly overall correlated with BIA-BIA_BMC and 31 other fields | High correlation |
BIA-BIA_BMR is highly overall correlated with BIA-BIA_Activity_Level_num and 30 other fields | High correlation |
BIA-BIA_DEE is highly overall correlated with BIA-BIA_Activity_Level_num and 27 other fields | High correlation |
BIA-BIA_ECW is highly overall correlated with BIA-BIA_BMC and 25 other fields | High correlation |
BIA-BIA_FFM is highly overall correlated with BIA-BIA_Activity_Level_num and 30 other fields | High correlation |
BIA-BIA_FFMI is highly overall correlated with BIA-BIA_BMC and 31 other fields | High correlation |
BIA-BIA_FMI is highly overall correlated with BIA-BIA_BMC and 29 other fields | High correlation |
BIA-BIA_Fat is highly overall correlated with BIA-BIA_BMC and 28 other fields | High correlation |
BIA-BIA_Frame_num is highly overall correlated with BIA-BIA_BMC and 10 other fields | High correlation |
BIA-BIA_ICW is highly overall correlated with BIA-BIA_BMC and 26 other fields | High correlation |
BIA-BIA_LDM is highly overall correlated with BIA-BIA_BMC and 22 other fields | High correlation |
BIA-BIA_LST is highly overall correlated with BIA-BIA_Activity_Level_num and 30 other fields | High correlation |
BIA-BIA_SMM is highly overall correlated with BIA-BIA_BMC and 23 other fields | High correlation |
BIA-BIA_TBW is highly overall correlated with BIA-BIA_BMC and 25 other fields | High correlation |
BIA-Season is highly overall correlated with FGC-FGC_CU and 10 other fields | High correlation |
Basic_Demos-Age is highly overall correlated with BIA-BIA_BMC and 23 other fields | High correlation |
Basic_Demos-Enroll_Season is highly overall correlated with BIA-BIA_BMI and 10 other fields | High correlation |
Basic_Demos-Sex is highly overall correlated with BIA-BIA_ECW and 7 other fields | High correlation |
CGAS-CGAS_Score is highly overall correlated with BIA-BIA_Activity_Level_num and 11 other fields | High correlation |
CGAS-Season is highly overall correlated with BIA-BIA_Activity_Level_num and 20 other fields | High correlation |
FGC-FGC_CU is highly overall correlated with BIA-BIA_BMC and 25 other fields | High correlation |
FGC-FGC_CU_Zone is highly overall correlated with BIA-BIA_BMI and 9 other fields | High correlation |
FGC-FGC_GSD is highly overall correlated with BIA-BIA_Activity_Level_num and 50 other fields | High correlation |
FGC-FGC_GSD_Zone is highly overall correlated with BIA-BIA_Activity_Level_num and 29 other fields | High correlation |
FGC-FGC_GSND is highly overall correlated with BIA-BIA_Activity_Level_num and 50 other fields | High correlation |
FGC-FGC_GSND_Zone is highly overall correlated with BIA-BIA_Activity_Level_num and 26 other fields | High correlation |
FGC-FGC_PU is highly overall correlated with BIA-BIA_Activity_Level_num and 23 other fields | High correlation |
FGC-FGC_PU_Zone is highly overall correlated with BIA-BIA_Activity_Level_num and 17 other fields | High correlation |
FGC-FGC_SRL is highly overall correlated with Basic_Demos-Sex and 11 other fields | High correlation |
FGC-FGC_SRL_Zone is highly overall correlated with BIA-BIA_BMI and 11 other fields | High correlation |
FGC-FGC_SRR is highly overall correlated with BIA-BIA_Activity_Level_num and 11 other fields | High correlation |
FGC-FGC_SRR_Zone is highly overall correlated with BIA-BIA_BMI and 10 other fields | High correlation |
FGC-FGC_TL is highly overall correlated with BIA-BIA_BMC and 23 other fields | High correlation |
FGC-FGC_TL_Zone is highly overall correlated with FGC-FGC_GSD and 7 other fields | High correlation |
FGC-Season is highly overall correlated with BIA-BIA_BMR and 10 other fields | High correlation |
Fitness_Endurance-Max_Stage is highly overall correlated with Basic_Demos-Age and 31 other fields | High correlation |
Fitness_Endurance-Time_Mins is highly overall correlated with Basic_Demos-Age and 31 other fields | High correlation |
Fitness_Endurance-Time_Sec is highly overall correlated with Basic_Demos-Age and 31 other fields | High correlation |
PAQ_C-PAQ_C_Total is highly overall correlated with BIA-BIA_BMI and 22 other fields | High correlation |
PAQ_C-Season is highly overall correlated with BIA-BIA_BMI and 22 other fields | High correlation |
Physical-BMI is highly overall correlated with BIA-BIA_BMI and 12 other fields | High correlation |
Physical-Diastolic_BP is highly overall correlated with BIA-BIA_DEE and 9 other fields | High correlation |
Physical-HeartRate is highly overall correlated with CGAS-CGAS_Score and 11 other fields | High correlation |
Physical-Height is highly overall correlated with BIA-BIA_BMC and 23 other fields | High correlation |
Physical-Season is highly overall correlated with BIA-BIA_BMR and 11 other fields | High correlation |
Physical-Systolic_BP is highly overall correlated with CGAS-CGAS_Score and 6 other fields | High correlation |
Physical-Waist_Circumference is highly overall correlated with BIA-BIA_Activity_Level_num and 32 other fields | High correlation |
Physical-Weight is highly overall correlated with BIA-BIA_BMC and 28 other fields | High correlation |
PreInt_EduHx-Season is highly overall correlated with BIA-BIA_BMI and 10 other fields | High correlation |
PreInt_EduHx-computerinternet_hoursday is highly overall correlated with BIA-BIA_Activity_Level_num and 7 other fields | High correlation |
SDS-SDS_Total_Raw is highly overall correlated with BIA-BIA_Activity_Level_num and 12 other fields | High correlation |
SDS-SDS_Total_T is highly overall correlated with FGC-FGC_GSD and 10 other fields | High correlation |
SDS-Season is highly overall correlated with BIA-BIA_BMR and 11 other fields | High correlation |
CGAS-Season has 10 (50.0%) missing values | Missing |
CGAS-CGAS_Score has 12 (60.0%) missing values | Missing |
Physical-Season has 6 (30.0%) missing values | Missing |
Physical-BMI has 7 (35.0%) missing values | Missing |
Physical-Height has 7 (35.0%) missing values | Missing |
Physical-Weight has 7 (35.0%) missing values | Missing |
Physical-Waist_Circumference has 15 (75.0%) missing values | Missing |
Physical-Diastolic_BP has 9 (45.0%) missing values | Missing |
Physical-HeartRate has 8 (40.0%) missing values | Missing |
Physical-Systolic_BP has 9 (45.0%) missing values | Missing |
Fitness_Endurance-Season has 16 (80.0%) missing values | Missing |
Fitness_Endurance-Max_Stage has 17 (85.0%) missing values | Missing |
Fitness_Endurance-Time_Mins has 17 (85.0%) missing values | Missing |
Fitness_Endurance-Time_Sec has 17 (85.0%) missing values | Missing |
FGC-Season has 3 (15.0%) missing values | Missing |
FGC-FGC_CU has 7 (35.0%) missing values | Missing |
FGC-FGC_CU_Zone has 7 (35.0%) missing values | Missing |
FGC-FGC_GSND has 15 (75.0%) missing values | Missing |
FGC-FGC_GSND_Zone has 15 (75.0%) missing values | Missing |
FGC-FGC_GSD has 15 (75.0%) missing values | Missing |
FGC-FGC_GSD_Zone has 15 (75.0%) missing values | Missing |
FGC-FGC_PU has 7 (35.0%) missing values | Missing |
FGC-FGC_PU_Zone has 7 (35.0%) missing values | Missing |
FGC-FGC_SRL has 7 (35.0%) missing values | Missing |
FGC-FGC_SRL_Zone has 7 (35.0%) missing values | Missing |
FGC-FGC_SRR has 7 (35.0%) missing values | Missing |
FGC-FGC_SRR_Zone has 7 (35.0%) missing values | Missing |
FGC-FGC_TL has 7 (35.0%) missing values | Missing |
FGC-FGC_TL_Zone has 7 (35.0%) missing values | Missing |
BIA-Season has 12 (60.0%) missing values | Missing |
BIA-BIA_Activity_Level_num has 12 (60.0%) missing values | Missing |
BIA-BIA_BMC has 12 (60.0%) missing values | Missing |
BIA-BIA_BMI has 12 (60.0%) missing values | Missing |
BIA-BIA_BMR has 12 (60.0%) missing values | Missing |
BIA-BIA_DEE has 12 (60.0%) missing values | Missing |
BIA-BIA_ECW has 12 (60.0%) missing values | Missing |
BIA-BIA_FFM has 12 (60.0%) missing values | Missing |
BIA-BIA_FFMI has 12 (60.0%) missing values | Missing |
BIA-BIA_FMI has 12 (60.0%) missing values | Missing |
BIA-BIA_Fat has 12 (60.0%) missing values | Missing |
BIA-BIA_Frame_num has 12 (60.0%) missing values | Missing |
BIA-BIA_ICW has 12 (60.0%) missing values | Missing |
BIA-BIA_LDM has 12 (60.0%) missing values | Missing |
BIA-BIA_LST has 12 (60.0%) missing values | Missing |
BIA-BIA_SMM has 12 (60.0%) missing values | Missing |
BIA-BIA_TBW has 12 (60.0%) missing values | Missing |
PAQ_A-Season has 19 (95.0%) missing values | Missing |
PAQ_A-PAQ_A_Total has 19 (95.0%) missing values | Missing |
PAQ_C-Season has 11 (55.0%) missing values | Missing |
PAQ_C-PAQ_C_Total has 11 (55.0%) missing values | Missing |
SDS-Season has 10 (50.0%) missing values | Missing |
SDS-SDS_Total_Raw has 10 (50.0%) missing values | Missing |
SDS-SDS_Total_T has 10 (50.0%) missing values | Missing |
PreInt_EduHx-Season has 2 (10.0%) missing values | Missing |
PreInt_EduHx-computerinternet_hoursday has 4 (20.0%) missing values | Missing |
Fitness_Endurance-Max_Stage is uniformly distributed | Uniform |
Fitness_Endurance-Time_Mins is uniformly distributed | Uniform |
Fitness_Endurance-Time_Sec is uniformly distributed | Uniform |
FGC-FGC_GSND is uniformly distributed | Uniform |
FGC-FGC_GSD is uniformly distributed | Uniform |
id has unique values | Unique |
FGC-FGC_CU has 3 (15.0%) zeros | Zeros |
FGC-FGC_PU has 6 (30.0%) zeros | Zeros |
FGC-FGC_SRL has 2 (10.0%) zeros | Zeros |
FGC-FGC_SRR has 2 (10.0%) zeros | Zeros |
Reproduction
| Analysis started | 2024-10-11 10:22:02.157913 |
|---|---|
| Analysis finished | 2024-10-11 10:26:10.916911 |
| Duration | 4 minutes and 8.76 seconds |
| Software version | ydata-profiling vv4.10.0 |
| Download configuration | config.json |
id
Text
UNIQUE
| Distinct | 20 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 1.4 KiB |
Length
| Max length | 8 |
|---|---|
| Median length | 8 |
| Mean length | 8 |
| Min length | 8 |
Characters and Unicode
| Total characters | 160 |
|---|---|
| Distinct characters | 16 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 20 ? |
|---|---|
| Unique (%) | 100.0% |
Sample
| 1st row | 00008ff9 |
|---|---|
| 2nd row | 000fd460 |
| 3rd row | 00105258 |
| 4th row | 00115b9f |
| 5th row | 0016bb22 |
| Value | Count | Frequency (%) |
| 00008ff9 | 1 | 5.0% |
| 000fd460 | 1 | 5.0% |
| 00105258 | 1 | 5.0% |
| 00115b9f | 1 | 5.0% |
| 0016bb22 | 1 | 5.0% |
| 001f3379 | 1 | 5.0% |
| 0038ba98 | 1 | 5.0% |
| 0068a485 | 1 | 5.0% |
| 0069fbed | 1 | 5.0% |
| 0083e397 | 1 | 5.0% |
| Other values (10) | 10 |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 46 | |
| 9 | 11 | 6.9% |
| d | 11 | 6.9% |
| 5 | 11 | 6.9% |
| 6 | 10 | 6.2% |
| 8 | 9 | 5.6% |
| 3 | 9 | 5.6% |
| b | 9 | 5.6% |
| 1 | 8 | 5.0% |
| f | 7 | 4.4% |
| Other values (6) | 29 |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 160 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 0 | 46 | |
| 9 | 11 | 6.9% |
| d | 11 | 6.9% |
| 5 | 11 | 6.9% |
| 6 | 10 | 6.2% |
| 8 | 9 | 5.6% |
| 3 | 9 | 5.6% |
| b | 9 | 5.6% |
| 1 | 8 | 5.0% |
| f | 7 | 4.4% |
| Other values (6) | 29 |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 160 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 0 | 46 | |
| 9 | 11 | 6.9% |
| d | 11 | 6.9% |
| 5 | 11 | 6.9% |
| 6 | 10 | 6.2% |
| 8 | 9 | 5.6% |
| 3 | 9 | 5.6% |
| b | 9 | 5.6% |
| 1 | 8 | 5.0% |
| f | 7 | 4.4% |
| Other values (6) | 29 |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 160 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 0 | 46 | |
| 9 | 11 | 6.9% |
| d | 11 | 6.9% |
| 5 | 11 | 6.9% |
| 6 | 10 | 6.2% |
| 8 | 9 | 5.6% |
| 3 | 9 | 5.6% |
| b | 9 | 5.6% |
| 1 | 8 | 5.0% |
| f | 7 | 4.4% |
| Other values (6) | 29 |
Basic_Demos-Enroll_Season
Categorical
HIGH CORRELATION
| Distinct | 4 |
|---|---|
| Distinct (%) | 20.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 1.3 KiB |
| Fall | |
|---|---|
| Spring | |
| Summer | |
| Winter |
Length
| Max length | 6 |
|---|---|
| Median length | 6 |
| Mean length | 5.4 |
| Min length | 4 |
Characters and Unicode
| Total characters | 108 |
|---|---|
| Distinct characters | 14 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Fall |
|---|---|
| 2nd row | Summer |
| 3rd row | Summer |
| 4th row | Winter |
| 5th row | Spring |
Common Values
| Value | Count | Frequency (%) |
| Fall | 6 | |
| Spring | 6 | |
| Summer | 4 | |
| Winter | 4 |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| fall | 6 | |
| spring | 6 | |
| summer | 4 | |
| winter | 4 |
Most occurring characters
| Value | Count | Frequency (%) |
| r | 14 | |
| l | 12 | |
| S | 10 | |
| i | 10 | |
| n | 10 | |
| m | 8 | |
| e | 8 | |
| F | 6 | 5.6% |
| a | 6 | 5.6% |
| p | 6 | 5.6% |
| Other values (4) | 18 |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 108 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| r | 14 | |
| l | 12 | |
| S | 10 | |
| i | 10 | |
| n | 10 | |
| m | 8 | |
| e | 8 | |
| F | 6 | 5.6% |
| a | 6 | 5.6% |
| p | 6 | 5.6% |
| Other values (4) | 18 |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 108 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| r | 14 | |
| l | 12 | |
| S | 10 | |
| i | 10 | |
| n | 10 | |
| m | 8 | |
| e | 8 | |
| F | 6 | 5.6% |
| a | 6 | 5.6% |
| p | 6 | 5.6% |
| Other values (4) | 18 |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 108 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| r | 14 | |
| l | 12 | |
| S | 10 | |
| i | 10 | |
| n | 10 | |
| m | 8 | |
| e | 8 | |
| F | 6 | 5.6% |
| a | 6 | 5.6% |
| p | 6 | 5.6% |
| Other values (4) | 18 |
Basic_Demos-Age
Real number (ℝ)
HIGH CORRELATION
| Distinct | 11 |
|---|---|
| Distinct (%) | 55.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 10.75 |
| Minimum | 5 |
|---|---|
| Maximum | 19 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 288.0 B |
Quantile statistics
| Minimum | 5 |
|---|---|
| 5-th percentile | 5 |
| Q1 | 9 |
| median | 10 |
| Q3 | 12.25 |
| 95-th percentile | 18.05 |
| Maximum | 19 |
| Range | 14 |
| Interquartile range (IQR) | 3.25 |
Descriptive statistics
| Standard deviation | 3.7257991 |
|---|---|
| Coefficient of variation (CV) | 0.34658596 |
| Kurtosis | 0.4687184 |
| Mean | 10.75 |
| Median Absolute Deviation (MAD) | 2 |
| Skewness | 0.55757412 |
| Sum | 215 |
| Variance | 13.881579 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=11)
| Value | Count | Frequency (%) |
| 10 | 5 | |
| 5 | 2 | 10.0% |
| 9 | 2 | 10.0% |
| 13 | 2 | 10.0% |
| 11 | 2 | 10.0% |
| 12 | 2 | 10.0% |
| 18 | 1 | 5.0% |
| 15 | 1 | 5.0% |
| 19 | 1 | 5.0% |
| 7 | 1 | 5.0% |
| Value | Count | Frequency (%) |
| 5 | 2 | 10.0% |
| 6 | 1 | 5.0% |
| 7 | 1 | 5.0% |
| 9 | 2 | 10.0% |
| 10 | 5 | |
| 11 | 2 | 10.0% |
| 12 | 2 | 10.0% |
| 13 | 2 | 10.0% |
| 15 | 1 | 5.0% |
| 18 | 1 | 5.0% |
| Value | Count | Frequency (%) |
| 19 | 1 | 5.0% |
| 18 | 1 | 5.0% |
| 15 | 1 | 5.0% |
| 13 | 2 | 10.0% |
| 12 | 2 | 10.0% |
| 11 | 2 | 10.0% |
| 10 | 5 | |
| 9 | 2 | 10.0% |
| 7 | 1 | 5.0% |
| 6 | 1 | 5.0% |
Basic_Demos-Sex
Categorical
HIGH CORRELATION
| Distinct | 2 |
|---|---|
| Distinct (%) | 10.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 1.3 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 20 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 1 |
| 4th row | 0 |
| 5th row | 1 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 12 | |
| 1 | 8 |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 12 | |
| 1 | 8 |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 12 | |
| 1 | 8 |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 20 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 0 | 12 | |
| 1 | 8 |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 20 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 0 | 12 | |
| 1 | 8 |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 20 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 0 | 12 | |
| 1 | 8 |
CGAS-Season
Categorical
HIGH CORRELATION MISSING
| Distinct | 4 |
|---|---|
| Distinct (%) | 40.0% |
| Missing | 10 |
| Missing (%) | 50.0% |
| Memory size | 1.3 KiB |
| Summer | |
|---|---|
| Winter | |
| Fall | |
| Spring |
Length
| Max length | 6 |
|---|---|
| Median length | 6 |
| Mean length | 5.6 |
| Min length | 4 |
Characters and Unicode
| Total characters | 56 |
|---|---|
| Distinct characters | 14 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 1 ? |
|---|---|
| Unique (%) | 10.0% |
Sample
| 1st row | Winter |
|---|---|
| 2nd row | Fall |
| 3rd row | Fall |
| 4th row | Summer |
| 5th row | Winter |
Common Values
| Value | Count | Frequency (%) |
| Summer | 5 | |
| Winter | 2 | 10.0% |
| Fall | 2 | 10.0% |
| Spring | 1 | 5.0% |
| (Missing) | 10 |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| summer | 5 | |
| winter | 2 | 20.0% |
| fall | 2 | 20.0% |
| spring | 1 | 10.0% |
Most occurring characters
| Value | Count | Frequency (%) |
| m | 10 | |
| r | 8 | |
| e | 7 | |
| S | 6 | |
| u | 5 | |
| l | 4 | 7.1% |
| i | 3 | 5.4% |
| n | 3 | 5.4% |
| W | 2 | 3.6% |
| t | 2 | 3.6% |
| Other values (4) | 6 |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 56 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| m | 10 | |
| r | 8 | |
| e | 7 | |
| S | 6 | |
| u | 5 | |
| l | 4 | 7.1% |
| i | 3 | 5.4% |
| n | 3 | 5.4% |
| W | 2 | 3.6% |
| t | 2 | 3.6% |
| Other values (4) | 6 |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 56 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| m | 10 | |
| r | 8 | |
| e | 7 | |
| S | 6 | |
| u | 5 | |
| l | 4 | 7.1% |
| i | 3 | 5.4% |
| n | 3 | 5.4% |
| W | 2 | 3.6% |
| t | 2 | 3.6% |
| Other values (4) | 6 |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 56 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| m | 10 | |
| r | 8 | |
| e | 7 | |
| S | 6 | |
| u | 5 | |
| l | 4 | 7.1% |
| i | 3 | 5.4% |
| n | 3 | 5.4% |
| W | 2 | 3.6% |
| t | 2 | 3.6% |
| Other values (4) | 6 |
CGAS-CGAS_Score
Real number (ℝ)
HIGH CORRELATION MISSING
| Distinct | 6 |
|---|---|
| Distinct (%) | 75.0% |
| Missing | 12 |
| Missing (%) | 60.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 62.5 |
| Minimum | 50 |
|---|---|
| Maximum | 80 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 288.0 B |
Quantile statistics
| Minimum | 50 |
|---|---|
| 5-th percentile | 50.35 |
| Q1 | 51 |
| median | 63 |
| Q3 | 71 |
| 95-th percentile | 76.85 |
| Maximum | 80 |
| Range | 30 |
| Interquartile range (IQR) | 20 |
Descriptive statistics
| Standard deviation | 11.275764 |
|---|---|
| Coefficient of variation (CV) | 0.18041223 |
| Kurtosis | -1.4256281 |
| Mean | 62.5 |
| Median Absolute Deviation (MAD) | 10 |
| Skewness | 0.21523741 |
| Sum | 500 |
| Variance | 127.14286 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=6)
| Value | Count | Frequency (%) |
| 51 | 2 | 10.0% |
| 71 | 2 | 10.0% |
| 50 | 1 | 5.0% |
| 66 | 1 | 5.0% |
| 80 | 1 | 5.0% |
| 60 | 1 | 5.0% |
| (Missing) | 12 |
| Value | Count | Frequency (%) |
| 50 | 1 | |
| 51 | 2 | |
| 60 | 1 | |
| 66 | 1 | |
| 71 | 2 | |
| 80 | 1 |
| Value | Count | Frequency (%) |
| 80 | 1 | |
| 71 | 2 | |
| 66 | 1 | |
| 60 | 1 | |
| 51 | 2 | |
| 50 | 1 |
Physical-Season
Categorical
HIGH CORRELATION MISSING
| Distinct | 4 |
|---|---|
| Distinct (%) | 28.6% |
| Missing | 6 |
| Missing (%) | 30.0% |
| Memory size | 1.3 KiB |
| Fall | |
|---|---|
| Spring | |
| Summer | |
| Winter |
Length
| Max length | 6 |
|---|---|
| Median length | 6 |
| Mean length | 5.1428571 |
| Min length | 4 |
Characters and Unicode
| Total characters | 72 |
|---|---|
| Distinct characters | 14 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Fall |
|---|---|
| 2nd row | Fall |
| 3rd row | Fall |
| 4th row | Summer |
| 5th row | Summer |
Common Values
| Value | Count | Frequency (%) |
| Fall | 6 | |
| Spring | 4 | |
| Summer | 2 | 10.0% |
| Winter | 2 | 10.0% |
| (Missing) | 6 |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| fall | 6 | |
| spring | 4 | |
| summer | 2 | 14.3% |
| winter | 2 | 14.3% |
Most occurring characters
| Value | Count | Frequency (%) |
| l | 12 | |
| r | 8 | |
| F | 6 | |
| a | 6 | |
| S | 6 | |
| i | 6 | |
| n | 6 | |
| p | 4 | 5.6% |
| g | 4 | 5.6% |
| m | 4 | 5.6% |
| Other values (4) | 10 |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 72 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| l | 12 | |
| r | 8 | |
| F | 6 | |
| a | 6 | |
| S | 6 | |
| i | 6 | |
| n | 6 | |
| p | 4 | 5.6% |
| g | 4 | 5.6% |
| m | 4 | 5.6% |
| Other values (4) | 10 |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 72 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| l | 12 | |
| r | 8 | |
| F | 6 | |
| a | 6 | |
| S | 6 | |
| i | 6 | |
| n | 6 | |
| p | 4 | 5.6% |
| g | 4 | 5.6% |
| m | 4 | 5.6% |
| Other values (4) | 10 |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 72 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| l | 12 | |
| r | 8 | |
| F | 6 | |
| a | 6 | |
| S | 6 | |
| i | 6 | |
| n | 6 | |
| p | 4 | 5.6% |
| g | 4 | 5.6% |
| m | 4 | 5.6% |
| Other values (4) | 10 |
Physical-BMI
Real number (ℝ)
HIGH CORRELATION MISSING
| Distinct | 13 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 7 |
| Missing (%) | 35.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 19.835939 |
| Minimum | 14.03559 |
|---|---|
| Maximum | 30.094649 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 288.0 B |
Quantile statistics
| Minimum | 14.03559 |
|---|---|
| 5-th percentile | 14.940703 |
| Q1 | 16.861286 |
| median | 18.292347 |
| Q3 | 21.079065 |
| 95-th percentile | 29.627325 |
| Maximum | 30.094649 |
| Range | 16.059059 |
| Interquartile range (IQR) | 4.2177788 |
Descriptive statistics
| Standard deviation | 4.9276245 |
|---|---|
| Coefficient of variation (CV) | 0.24841902 |
| Kurtosis | 0.97603309 |
| Mean | 19.835939 |
| Median Absolute Deviation (MAD) | 1.6436509 |
| Skewness | 1.2914504 |
| Sum | 257.86721 |
| Variance | 24.281483 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=13)
| Value | Count | Frequency (%) |
| 16.87731569 | 1 | 5.0% |
| 14.03559028 | 1 | 5.0% |
| 16.64869606 | 1 | 5.0% |
| 18.29234694 | 1 | 5.0% |
| 22.27995198 | 1 | 5.0% |
| 19.66076033 | 1 | 5.0% |
| 16.86128647 | 1 | 5.0% |
| 21.07906523 | 1 | 5.0% |
| 15.54411111 | 1 | 5.0% |
| 29.31577503 | 1 | 5.0% |
| Other values (3) | 3 | |
| (Missing) | 7 |
| Value | Count | Frequency (%) |
| 14.03559028 | 1 | |
| 15.54411111 | 1 | |
| 16.64869606 | 1 | |
| 16.86128647 | 1 | |
| 16.87731569 | 1 | |
| 17.28450413 | 1 | |
| 18.29234694 | 1 | |
| 19.66076033 | 1 | |
| 19.89315702 | 1 | |
| 21.07906523 | 1 |
| Value | Count | Frequency (%) |
| 30.09464889 | 1 | |
| 29.31577503 | 1 | |
| 22.27995198 | 1 | |
| 21.07906523 | 1 | |
| 19.89315702 | 1 | |
| 19.66076033 | 1 | |
| 18.29234694 | 1 | |
| 17.28450413 | 1 | |
| 16.87731569 | 1 | |
| 16.86128647 | 1 |
Physical-Height
Real number (ℝ)
HIGH CORRELATION MISSING
| Distinct | 12 |
|---|---|
| Distinct (%) | 92.3% |
| Missing | 7 |
| Missing (%) | 35.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 52.961538 |
| Minimum | 37.5 |
|---|---|
| Maximum | 60 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 288.0 B |
Quantile statistics
| Minimum | 37.5 |
|---|---|
| 5-th percentile | 41.4 |
| Q1 | 48 |
| median | 55 |
| Q3 | 57.75 |
| 95-th percentile | 59.7 |
| Maximum | 60 |
| Range | 22.5 |
| Interquartile range (IQR) | 9.75 |
Descriptive statistics
| Standard deviation | 6.9423565 |
|---|---|
| Coefficient of variation (CV) | 0.13108298 |
| Kurtosis | 0.41779506 |
| Mean | 52.961538 |
| Median Absolute Deviation (MAD) | 4.25 |
| Skewness | -1.1179984 |
| Sum | 688.5 |
| Variance | 48.196314 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=12)
| Value | Count | Frequency (%) |
| 55 | 2 | 10.0% |
| 46 | 1 | 5.0% |
| 48 | 1 | 5.0% |
| 56.5 | 1 | 5.0% |
| 56 | 1 | 5.0% |
| 59.5 | 1 | 5.0% |
| 59.25 | 1 | 5.0% |
| 57.75 | 1 | 5.0% |
| 60 | 1 | 5.0% |
| 54 | 1 | 5.0% |
| Other values (2) | 2 | 10.0% |
| (Missing) | 7 |
| Value | Count | Frequency (%) |
| 37.5 | 1 | |
| 44 | 1 | |
| 46 | 1 | |
| 48 | 1 | |
| 54 | 1 | |
| 55 | 2 | |
| 56 | 1 | |
| 56.5 | 1 | |
| 57.75 | 1 | |
| 59.25 | 1 |
| Value | Count | Frequency (%) |
| 60 | 1 | |
| 59.5 | 1 | |
| 59.25 | 1 | |
| 57.75 | 1 | |
| 56.5 | 1 | |
| 56 | 1 | |
| 55 | 2 | |
| 54 | 1 | |
| 48 | 1 | |
| 46 | 1 |
Physical-Weight
Real number (ℝ)
HIGH CORRELATION MISSING
| Distinct | 13 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 7 |
| Missing (%) | 35.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 79.2 |
| Minimum | 46 |
|---|---|
| Maximum | 121.6 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 288.0 B |
Quantile statistics
| Minimum | 46 |
|---|---|
| 5-th percentile | 46.96 |
| Q1 | 60.2 |
| median | 81.6 |
| Q3 | 85.6 |
| 95-th percentile | 115.96 |
| Maximum | 121.6 |
| Range | 75.6 |
| Interquartile range (IQR) | 25.4 |
Descriptive statistics
| Standard deviation | 23.632181 |
|---|---|
| Coefficient of variation (CV) | 0.29838613 |
| Kurtosis | -0.56703056 |
| Mean | 79.2 |
| Median Absolute Deviation (MAD) | 18.4 |
| Skewness | 0.17728785 |
| Sum | 1029.6 |
| Variance | 558.48 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=13)
| Value | Count | Frequency (%) |
| 50.8 | 1 | 5.0% |
| 46 | 1 | 5.0% |
| 75.6 | 1 | 5.0% |
| 81.6 | 1 | 5.0% |
| 112.2 | 1 | 5.0% |
| 84.6 | 1 | 5.0% |
| 84.2 | 1 | 5.0% |
| 100 | 1 | 5.0% |
| 79.6 | 1 | 5.0% |
| 121.6 | 1 | 5.0% |
| Other values (3) | 3 | |
| (Missing) | 7 |
| Value | Count | Frequency (%) |
| 46 | 1 | |
| 47.6 | 1 | |
| 50.8 | 1 | |
| 60.2 | 1 | |
| 75.6 | 1 | |
| 79.6 | 1 | |
| 81.6 | 1 | |
| 84.2 | 1 | |
| 84.6 | 1 | |
| 85.6 | 1 |
| Value | Count | Frequency (%) |
| 121.6 | 1 | |
| 112.2 | 1 | |
| 100 | 1 | |
| 85.6 | 1 | |
| 84.6 | 1 | |
| 84.2 | 1 | |
| 81.6 | 1 | |
| 79.6 | 1 | |
| 75.6 | 1 | |
| 60.2 | 1 |
Physical-Waist_Circumference
Categorical
HIGH CORRELATION MISSING
| Distinct | 4 |
|---|---|
| Distinct (%) | 80.0% |
| Missing | 15 |
| Missing (%) | 75.0% |
| Memory size | 1.2 KiB |
| 24.0 | |
|---|---|
| 22.0 | |
| 27.0 | |
| 30.0 |
Length
| Max length | 4 |
|---|---|
| Median length | 4 |
| Mean length | 4 |
| Min length | 4 |
Characters and Unicode
| Total characters | 20 |
|---|---|
| Distinct characters | 6 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 3 ? |
|---|---|
| Unique (%) | 60.0% |
Sample
| 1st row | 22.0 |
|---|---|
| 2nd row | 27.0 |
| 3rd row | 24.0 |
| 4th row | 30.0 |
| 5th row | 24.0 |
Common Values
| Value | Count | Frequency (%) |
| 24.0 | 2 | 10.0% |
| 22.0 | 1 | 5.0% |
| 27.0 | 1 | 5.0% |
| 30.0 | 1 | 5.0% |
| (Missing) | 15 |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 24.0 | 2 | |
| 22.0 | 1 | |
| 27.0 | 1 | |
| 30.0 | 1 |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 6 | |
| 2 | 5 | |
| . | 5 | |
| 4 | 2 | 10.0% |
| 7 | 1 | 5.0% |
| 3 | 1 | 5.0% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 20 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 0 | 6 | |
| 2 | 5 | |
| . | 5 | |
| 4 | 2 | 10.0% |
| 7 | 1 | 5.0% |
| 3 | 1 | 5.0% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 20 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 0 | 6 | |
| 2 | 5 | |
| . | 5 | |
| 4 | 2 | 10.0% |
| 7 | 1 | 5.0% |
| 3 | 1 | 5.0% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 20 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 0 | 6 | |
| 2 | 5 | |
| . | 5 | |
| 4 | 2 | 10.0% |
| 7 | 1 | 5.0% |
| 3 | 1 | 5.0% |
Physical-Diastolic_BP
Real number (ℝ)
HIGH CORRELATION MISSING
| Distinct | 9 |
|---|---|
| Distinct (%) | 81.8% |
| Missing | 9 |
| Missing (%) | 45.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 70.545455 |
| Minimum | 57 |
|---|---|
| Maximum | 123 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 288.0 B |
Quantile statistics
| Minimum | 57 |
|---|---|
| 5-th percentile | 58.5 |
| Q1 | 60.5 |
| median | 63 |
| Q3 | 73 |
| 95-th percentile | 101.5 |
| Maximum | 123 |
| Range | 66 |
| Interquartile range (IQR) | 12.5 |
Descriptive statistics
| Standard deviation | 18.806189 |
|---|---|
| Coefficient of variation (CV) | 0.26658257 |
| Kurtosis | 7.0577996 |
| Mean | 70.545455 |
| Median Absolute Deviation (MAD) | 3 |
| Skewness | 2.5375388 |
| Sum | 776 |
| Variance | 353.67273 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=9)
| Value | Count | Frequency (%) |
| 60 | 2 | 10.0% |
| 61 | 2 | 10.0% |
| 75 | 1 | 5.0% |
| 65 | 1 | 5.0% |
| 123 | 1 | 5.0% |
| 71 | 1 | 5.0% |
| 63 | 1 | 5.0% |
| 57 | 1 | 5.0% |
| 80 | 1 | 5.0% |
| (Missing) | 9 |
| Value | Count | Frequency (%) |
| 57 | 1 | |
| 60 | 2 | |
| 61 | 2 | |
| 63 | 1 | |
| 65 | 1 | |
| 71 | 1 | |
| 75 | 1 | |
| 80 | 1 | |
| 123 | 1 |
| Value | Count | Frequency (%) |
| 123 | 1 | |
| 80 | 1 | |
| 75 | 1 | |
| 71 | 1 | |
| 65 | 1 | |
| 63 | 1 | |
| 61 | 2 | |
| 60 | 2 | |
| 57 | 1 |
Physical-HeartRate
Real number (ℝ)
HIGH CORRELATION MISSING
| Distinct | 12 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 8 |
| Missing (%) | 40.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 81.666667 |
| Minimum | 70 |
|---|---|
| Maximum | 97 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 288.0 B |
Quantile statistics
| Minimum | 70 |
|---|---|
| 5-th percentile | 70.55 |
| Q1 | 74.5 |
| median | 80 |
| Q3 | 90.25 |
| 95-th percentile | 95.35 |
| Maximum | 97 |
| Range | 27 |
| Interquartile range (IQR) | 15.75 |
Descriptive statistics
| Standard deviation | 9.3160012 |
|---|---|
| Coefficient of variation (CV) | 0.11407348 |
| Kurtosis | -1.2927622 |
| Mean | 81.666667 |
| Median Absolute Deviation (MAD) | 8 |
| Skewness | 0.39467745 |
| Sum | 980 |
| Variance | 86.787879 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=12)
| Value | Count | Frequency (%) |
| 70 | 1 | 5.0% |
| 94 | 1 | 5.0% |
| 97 | 1 | 5.0% |
| 73 | 1 | 5.0% |
| 83 | 1 | 5.0% |
| 90 | 1 | 5.0% |
| 79 | 1 | 5.0% |
| 71 | 1 | 5.0% |
| 75 | 1 | 5.0% |
| 76 | 1 | 5.0% |
| Other values (2) | 2 | 10.0% |
| (Missing) | 8 |
| Value | Count | Frequency (%) |
| 70 | 1 | |
| 71 | 1 | |
| 73 | 1 | |
| 75 | 1 | |
| 76 | 1 | |
| 79 | 1 | |
| 81 | 1 | |
| 83 | 1 | |
| 90 | 1 | |
| 91 | 1 |
| Value | Count | Frequency (%) |
| 97 | 1 | |
| 94 | 1 | |
| 91 | 1 | |
| 90 | 1 | |
| 83 | 1 | |
| 81 | 1 | |
| 79 | 1 | |
| 76 | 1 | |
| 75 | 1 | |
| 73 | 1 |
Physical-Systolic_BP
Real number (ℝ)
HIGH CORRELATION MISSING
| Distinct | 10 |
|---|---|
| Distinct (%) | 90.9% |
| Missing | 9 |
| Missing (%) | 45.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 117.54545 |
| Minimum | 95 |
|---|---|
| Maximum | 163 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 288.0 B |
Quantile statistics
| Minimum | 95 |
|---|---|
| 5-th percentile | 97 |
| Q1 | 102.5 |
| median | 116 |
| Q3 | 119.5 |
| 95-th percentile | 156.5 |
| Maximum | 163 |
| Range | 68 |
| Interquartile range (IQR) | 17 |
Descriptive statistics
| Standard deviation | 21.262002 |
|---|---|
| Coefficient of variation (CV) | 0.18088323 |
| Kurtosis | 1.0935729 |
| Mean | 117.54545 |
| Median Absolute Deviation (MAD) | 13 |
| Skewness | 1.3082682 |
| Sum | 1293 |
| Variance | 452.07273 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=10)
| Value | Count | Frequency (%) |
| 117 | 2 | 10.0% |
| 122 | 1 | 5.0% |
| 102 | 1 | 5.0% |
| 163 | 1 | 5.0% |
| 116 | 1 | 5.0% |
| 150 | 1 | 5.0% |
| 103 | 1 | 5.0% |
| 99 | 1 | 5.0% |
| 109 | 1 | 5.0% |
| 95 | 1 | 5.0% |
| (Missing) | 9 |
| Value | Count | Frequency (%) |
| 95 | 1 | |
| 99 | 1 | |
| 102 | 1 | |
| 103 | 1 | |
| 109 | 1 | |
| 116 | 1 | |
| 117 | 2 | |
| 122 | 1 | |
| 150 | 1 | |
| 163 | 1 |
| Value | Count | Frequency (%) |
| 163 | 1 | |
| 150 | 1 | |
| 122 | 1 | |
| 117 | 2 | |
| 116 | 1 | |
| 109 | 1 | |
| 103 | 1 | |
| 102 | 1 | |
| 99 | 1 | |
| 95 | 1 |
MISSING
| Distinct | 3 |
|---|---|
| Distinct (%) | 75.0% |
| Missing | 16 |
| Missing (%) | 80.0% |
| Memory size | 890.0 B |
Length
| Max length | 6 |
|---|---|
| Median length | 6 |
| Mean length | 5.5 |
| Min length | 4 |
Characters and Unicode
| Total characters | 22 |
|---|---|
| Distinct characters | 12 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 2 ? |
|---|---|
| Unique (%) | 50.0% |
Sample
| 1st row | Fall |
|---|---|
| 2nd row | Summer |
| 3rd row | Spring |
| 4th row | Spring |
| Value | Count | Frequency (%) |
| spring | 2 | |
| fall | 1 | |
| summer | 1 |
Most occurring characters
| Value | Count | Frequency (%) |
| S | 3 | |
| r | 3 | |
| p | 2 | |
| i | 2 | |
| n | 2 | |
| g | 2 | |
| l | 2 | |
| m | 2 | |
| F | 1 | 4.5% |
| a | 1 | 4.5% |
| Other values (2) | 2 |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 22 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| S | 3 | |
| r | 3 | |
| p | 2 | |
| i | 2 | |
| n | 2 | |
| g | 2 | |
| l | 2 | |
| m | 2 | |
| F | 1 | 4.5% |
| a | 1 | 4.5% |
| Other values (2) | 2 |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 22 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| S | 3 | |
| r | 3 | |
| p | 2 | |
| i | 2 | |
| n | 2 | |
| g | 2 | |
| l | 2 | |
| m | 2 | |
| F | 1 | 4.5% |
| a | 1 | 4.5% |
| Other values (2) | 2 |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 22 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| S | 3 | |
| r | 3 | |
| p | 2 | |
| i | 2 | |
| n | 2 | |
| g | 2 | |
| l | 2 | |
| m | 2 | |
| F | 1 | 4.5% |
| a | 1 | 4.5% |
| Other values (2) | 2 |
Fitness_Endurance-Max_Stage
Categorical
HIGH CORRELATION MISSING UNIFORM
| Distinct | 3 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 17 |
| Missing (%) | 85.0% |
| Memory size | 1.2 KiB |
| 5.0 | |
|---|---|
| 6.0 | |
| 4.0 |
Length
| Max length | 3 |
|---|---|
| Median length | 3 |
| Mean length | 3 |
| Min length | 3 |
Characters and Unicode
| Total characters | 9 |
|---|---|
| Distinct characters | 5 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 3 ? |
|---|---|
| Unique (%) | 100.0% |
Sample
| 1st row | 5.0 |
|---|---|
| 2nd row | 6.0 |
| 3rd row | 4.0 |
Common Values
| Value | Count | Frequency (%) |
| 5.0 | 1 | 5.0% |
| 6.0 | 1 | 5.0% |
| 4.0 | 1 | 5.0% |
| (Missing) | 17 |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 5.0 | 1 | |
| 6.0 | 1 | |
| 4.0 | 1 |
Most occurring characters
| Value | Count | Frequency (%) |
| . | 3 | |
| 0 | 3 | |
| 5 | 1 | 11.1% |
| 6 | 1 | 11.1% |
| 4 | 1 | 11.1% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 9 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| . | 3 | |
| 0 | 3 | |
| 5 | 1 | 11.1% |
| 6 | 1 | 11.1% |
| 4 | 1 | 11.1% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 9 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| . | 3 | |
| 0 | 3 | |
| 5 | 1 | 11.1% |
| 6 | 1 | 11.1% |
| 4 | 1 | 11.1% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 9 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| . | 3 | |
| 0 | 3 | |
| 5 | 1 | 11.1% |
| 6 | 1 | 11.1% |
| 4 | 1 | 11.1% |
Fitness_Endurance-Time_Mins
Categorical
HIGH CORRELATION MISSING UNIFORM
| Distinct | 3 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 17 |
| Missing (%) | 85.0% |
| Memory size | 1.2 KiB |
| 7.0 | |
|---|---|
| 9.0 | |
| 5.0 |
Length
| Max length | 3 |
|---|---|
| Median length | 3 |
| Mean length | 3 |
| Min length | 3 |
Characters and Unicode
| Total characters | 9 |
|---|---|
| Distinct characters | 5 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 3 ? |
|---|---|
| Unique (%) | 100.0% |
Sample
| 1st row | 7.0 |
|---|---|
| 2nd row | 9.0 |
| 3rd row | 5.0 |
Common Values
| Value | Count | Frequency (%) |
| 7.0 | 1 | 5.0% |
| 9.0 | 1 | 5.0% |
| 5.0 | 1 | 5.0% |
| (Missing) | 17 |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 7.0 | 1 | |
| 9.0 | 1 | |
| 5.0 | 1 |
Most occurring characters
| Value | Count | Frequency (%) |
| . | 3 | |
| 0 | 3 | |
| 7 | 1 | 11.1% |
| 9 | 1 | 11.1% |
| 5 | 1 | 11.1% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 9 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| . | 3 | |
| 0 | 3 | |
| 7 | 1 | 11.1% |
| 9 | 1 | 11.1% |
| 5 | 1 | 11.1% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 9 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| . | 3 | |
| 0 | 3 | |
| 7 | 1 | 11.1% |
| 9 | 1 | 11.1% |
| 5 | 1 | 11.1% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 9 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| . | 3 | |
| 0 | 3 | |
| 7 | 1 | 11.1% |
| 9 | 1 | 11.1% |
| 5 | 1 | 11.1% |
Fitness_Endurance-Time_Sec
Categorical
HIGH CORRELATION MISSING UNIFORM
| Distinct | 3 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 17 |
| Missing (%) | 85.0% |
| Memory size | 1.2 KiB |
| 33.0 | |
|---|---|
| 37.0 | |
| 32.0 |
Length
| Max length | 4 |
|---|---|
| Median length | 4 |
| Mean length | 4 |
| Min length | 4 |
Characters and Unicode
| Total characters | 12 |
|---|---|
| Distinct characters | 5 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 3 ? |
|---|---|
| Unique (%) | 100.0% |
Sample
| 1st row | 33.0 |
|---|---|
| 2nd row | 37.0 |
| 3rd row | 32.0 |
Common Values
| Value | Count | Frequency (%) |
| 33.0 | 1 | 5.0% |
| 37.0 | 1 | 5.0% |
| 32.0 | 1 | 5.0% |
| (Missing) | 17 |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 33.0 | 1 | |
| 37.0 | 1 | |
| 32.0 | 1 |
Most occurring characters
| Value | Count | Frequency (%) |
| 3 | 4 | |
| . | 3 | |
| 0 | 3 | |
| 7 | 1 | 8.3% |
| 2 | 1 | 8.3% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 12 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 3 | 4 | |
| . | 3 | |
| 0 | 3 | |
| 7 | 1 | 8.3% |
| 2 | 1 | 8.3% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 12 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 3 | 4 | |
| . | 3 | |
| 0 | 3 | |
| 7 | 1 | 8.3% |
| 2 | 1 | 8.3% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 12 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 3 | 4 | |
| . | 3 | |
| 0 | 3 | |
| 7 | 1 | 8.3% |
| 2 | 1 | 8.3% |
FGC-Season
Categorical
HIGH CORRELATION MISSING
| Distinct | 4 |
|---|---|
| Distinct (%) | 23.5% |
| Missing | 3 |
| Missing (%) | 15.0% |
| Memory size | 1.3 KiB |
| Fall | |
|---|---|
| Spring | |
| Winter | |
| Summer |
Length
| Max length | 6 |
|---|---|
| Median length | 6 |
| Mean length | 5.2941176 |
| Min length | 4 |
Characters and Unicode
| Total characters | 90 |
|---|---|
| Distinct characters | 14 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Fall |
|---|---|
| 2nd row | Fall |
| 3rd row | Fall |
| 4th row | Summer |
| 5th row | Summer |
Common Values
| Value | Count | Frequency (%) |
| Fall | 6 | |
| Spring | 6 | |
| Winter | 3 | |
| Summer | 2 | 10.0% |
| (Missing) | 3 |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| fall | 6 | |
| spring | 6 | |
| winter | 3 | |
| summer | 2 | 11.8% |
Most occurring characters
| Value | Count | Frequency (%) |
| l | 12 | |
| r | 11 | |
| i | 9 | |
| n | 9 | |
| S | 8 | |
| F | 6 | |
| a | 6 | |
| p | 6 | |
| g | 6 | |
| e | 5 | |
| Other values (4) | 12 |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 90 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| l | 12 | |
| r | 11 | |
| i | 9 | |
| n | 9 | |
| S | 8 | |
| F | 6 | |
| a | 6 | |
| p | 6 | |
| g | 6 | |
| e | 5 | |
| Other values (4) | 12 |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 90 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| l | 12 | |
| r | 11 | |
| i | 9 | |
| n | 9 | |
| S | 8 | |
| F | 6 | |
| a | 6 | |
| p | 6 | |
| g | 6 | |
| e | 5 | |
| Other values (4) | 12 |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 90 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| l | 12 | |
| r | 11 | |
| i | 9 | |
| n | 9 | |
| S | 8 | |
| F | 6 | |
| a | 6 | |
| p | 6 | |
| g | 6 | |
| e | 5 | |
| Other values (4) | 12 |
FGC-FGC_CU
Real number (ℝ)
HIGH CORRELATION MISSING ZEROS
| Distinct | 10 |
|---|---|
| Distinct (%) | 76.9% |
| Missing | 7 |
| Missing (%) | 35.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 8.6923077 |
| Minimum | 0 |
|---|---|
| Maximum | 24 |
| Zeros | 3 |
| Zeros (%) | 15.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 288.0 B |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 3 |
| median | 6 |
| Q3 | 12 |
| 95-th percentile | 21.6 |
| Maximum | 24 |
| Range | 24 |
| Interquartile range (IQR) | 9 |
Descriptive statistics
| Standard deviation | 7.8992048 |
|---|---|
| Coefficient of variation (CV) | 0.90875807 |
| Kurtosis | -0.47971486 |
| Mean | 8.6923077 |
| Median Absolute Deviation (MAD) | 6 |
| Skewness | 0.72602317 |
| Sum | 113 |
| Variance | 62.397436 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=10)
| Value | Count | Frequency (%) |
| 0 | 3 | |
| 6 | 2 | 10.0% |
| 3 | 1 | 5.0% |
| 20 | 1 | 5.0% |
| 18 | 1 | 5.0% |
| 12 | 1 | 5.0% |
| 9 | 1 | 5.0% |
| 24 | 1 | 5.0% |
| 10 | 1 | 5.0% |
| 5 | 1 | 5.0% |
| (Missing) | 7 |
| Value | Count | Frequency (%) |
| 0 | 3 | |
| 3 | 1 | 5.0% |
| 5 | 1 | 5.0% |
| 6 | 2 | |
| 9 | 1 | 5.0% |
| 10 | 1 | 5.0% |
| 12 | 1 | 5.0% |
| 18 | 1 | 5.0% |
| 20 | 1 | 5.0% |
| 24 | 1 | 5.0% |
| Value | Count | Frequency (%) |
| 24 | 1 | 5.0% |
| 20 | 1 | 5.0% |
| 18 | 1 | 5.0% |
| 12 | 1 | 5.0% |
| 10 | 1 | 5.0% |
| 9 | 1 | 5.0% |
| 6 | 2 | |
| 5 | 1 | 5.0% |
| 3 | 1 | 5.0% |
| 0 | 3 |
FGC-FGC_CU_Zone
Categorical
HIGH CORRELATION MISSING
| Distinct | 2 |
|---|---|
| Distinct (%) | 15.4% |
| Missing | 7 |
| Missing (%) | 35.0% |
| Memory size | 1.3 KiB |
| 0.0 | |
|---|---|
| 1.0 |
Length
| Max length | 3 |
|---|---|
| Median length | 3 |
| Mean length | 3 |
| Min length | 3 |
Characters and Unicode
| Total characters | 39 |
|---|---|
| Distinct characters | 3 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0.0 |
|---|---|
| 2nd row | 0.0 |
| 3rd row | 1.0 |
| 4th row | 1.0 |
| 5th row | 0.0 |
Common Values
| Value | Count | Frequency (%) |
| 0.0 | 7 | |
| 1.0 | 6 | |
| (Missing) | 7 |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0.0 | 7 | |
| 1.0 | 6 |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 20 | |
| . | 13 | |
| 1 | 6 | 15.4% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 39 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 0 | 20 | |
| . | 13 | |
| 1 | 6 | 15.4% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 39 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 0 | 20 | |
| . | 13 | |
| 1 | 6 | 15.4% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 39 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 0 | 20 | |
| . | 13 | |
| 1 | 6 | 15.4% |
FGC-FGC_GSND
Categorical
HIGH CORRELATION MISSING UNIFORM
| Distinct | 5 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 15 |
| Missing (%) | 75.0% |
| Memory size | 1.2 KiB |
| 10.2 | |
|---|---|
| 16.5 | |
| 12.6 | |
| 19.2 | |
| 22.3 |
Length
| Max length | 4 |
|---|---|
| Median length | 4 |
| Mean length | 4 |
| Min length | 4 |
Characters and Unicode
| Total characters | 20 |
|---|---|
| Distinct characters | 8 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 5 ? |
|---|---|
| Unique (%) | 100.0% |
Sample
| 1st row | 10.2 |
|---|---|
| 2nd row | 16.5 |
| 3rd row | 12.6 |
| 4th row | 19.2 |
| 5th row | 22.3 |
Common Values
| Value | Count | Frequency (%) |
| 10.2 | 1 | 5.0% |
| 16.5 | 1 | 5.0% |
| 12.6 | 1 | 5.0% |
| 19.2 | 1 | 5.0% |
| 22.3 | 1 | 5.0% |
| (Missing) | 15 |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 10.2 | 1 | |
| 16.5 | 1 | |
| 12.6 | 1 | |
| 19.2 | 1 | |
| 22.3 | 1 |
Most occurring characters
| Value | Count | Frequency (%) |
| . | 5 | |
| 2 | 5 | |
| 1 | 4 | |
| 6 | 2 | 10.0% |
| 0 | 1 | 5.0% |
| 5 | 1 | 5.0% |
| 9 | 1 | 5.0% |
| 3 | 1 | 5.0% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 20 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| . | 5 | |
| 2 | 5 | |
| 1 | 4 | |
| 6 | 2 | 10.0% |
| 0 | 1 | 5.0% |
| 5 | 1 | 5.0% |
| 9 | 1 | 5.0% |
| 3 | 1 | 5.0% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 20 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| . | 5 | |
| 2 | 5 | |
| 1 | 4 | |
| 6 | 2 | 10.0% |
| 0 | 1 | 5.0% |
| 5 | 1 | 5.0% |
| 9 | 1 | 5.0% |
| 3 | 1 | 5.0% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 20 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| . | 5 | |
| 2 | 5 | |
| 1 | 4 | |
| 6 | 2 | 10.0% |
| 0 | 1 | 5.0% |
| 5 | 1 | 5.0% |
| 9 | 1 | 5.0% |
| 3 | 1 | 5.0% |
FGC-FGC_GSND_Zone
Categorical
HIGH CORRELATION MISSING
| Distinct | 2 |
|---|---|
| Distinct (%) | 40.0% |
| Missing | 15 |
| Missing (%) | 75.0% |
| Memory size | 1.2 KiB |
| 2.0 | |
|---|---|
| 1.0 |
Length
| Max length | 3 |
|---|---|
| Median length | 3 |
| Mean length | 3 |
| Min length | 3 |
Characters and Unicode
| Total characters | 15 |
|---|---|
| Distinct characters | 4 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 1.0 |
|---|---|
| 2nd row | 2.0 |
| 3rd row | 2.0 |
| 4th row | 1.0 |
| 5th row | 2.0 |
Common Values
| Value | Count | Frequency (%) |
| 2.0 | 3 | 15.0% |
| 1.0 | 2 | 10.0% |
| (Missing) | 15 |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 2.0 | 3 | |
| 1.0 | 2 |
Most occurring characters
| Value | Count | Frequency (%) |
| . | 5 | |
| 0 | 5 | |
| 2 | 3 | |
| 1 | 2 | 13.3% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 15 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| . | 5 | |
| 0 | 5 | |
| 2 | 3 | |
| 1 | 2 | 13.3% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 15 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| . | 5 | |
| 0 | 5 | |
| 2 | 3 | |
| 1 | 2 | 13.3% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 15 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| . | 5 | |
| 0 | 5 | |
| 2 | 3 | |
| 1 | 2 | 13.3% |
FGC-FGC_GSD
Categorical
HIGH CORRELATION MISSING UNIFORM
| Distinct | 5 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 15 |
| Missing (%) | 75.0% |
| Memory size | 1.2 KiB |
| 14.7 | |
|---|---|
| 17.9 | |
| 11.1 | |
| 18.4 | |
| 21.6 |
Length
| Max length | 4 |
|---|---|
| Median length | 4 |
| Mean length | 4 |
| Min length | 4 |
Characters and Unicode
| Total characters | 20 |
|---|---|
| Distinct characters | 8 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 5 ? |
|---|---|
| Unique (%) | 100.0% |
Sample
| 1st row | 14.7 |
|---|---|
| 2nd row | 17.9 |
| 3rd row | 11.1 |
| 4th row | 18.4 |
| 5th row | 21.6 |
Common Values
| Value | Count | Frequency (%) |
| 14.7 | 1 | 5.0% |
| 17.9 | 1 | 5.0% |
| 11.1 | 1 | 5.0% |
| 18.4 | 1 | 5.0% |
| 21.6 | 1 | 5.0% |
| (Missing) | 15 |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 14.7 | 1 | |
| 17.9 | 1 | |
| 11.1 | 1 | |
| 18.4 | 1 | |
| 21.6 | 1 |
Most occurring characters
| Value | Count | Frequency (%) |
| 1 | 7 | |
| . | 5 | |
| 4 | 2 | 10.0% |
| 7 | 2 | 10.0% |
| 9 | 1 | 5.0% |
| 8 | 1 | 5.0% |
| 2 | 1 | 5.0% |
| 6 | 1 | 5.0% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 20 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 1 | 7 | |
| . | 5 | |
| 4 | 2 | 10.0% |
| 7 | 2 | 10.0% |
| 9 | 1 | 5.0% |
| 8 | 1 | 5.0% |
| 2 | 1 | 5.0% |
| 6 | 1 | 5.0% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 20 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 1 | 7 | |
| . | 5 | |
| 4 | 2 | 10.0% |
| 7 | 2 | 10.0% |
| 9 | 1 | 5.0% |
| 8 | 1 | 5.0% |
| 2 | 1 | 5.0% |
| 6 | 1 | 5.0% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 20 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 1 | 7 | |
| . | 5 | |
| 4 | 2 | 10.0% |
| 7 | 2 | 10.0% |
| 9 | 1 | 5.0% |
| 8 | 1 | 5.0% |
| 2 | 1 | 5.0% |
| 6 | 1 | 5.0% |
FGC-FGC_GSD_Zone
Categorical
HIGH CORRELATION MISSING
| Distinct | 2 |
|---|---|
| Distinct (%) | 40.0% |
| Missing | 15 |
| Missing (%) | 75.0% |
| Memory size | 1.2 KiB |
| 2.0 | |
|---|---|
| 1.0 |
Length
| Max length | 3 |
|---|---|
| Median length | 3 |
| Mean length | 3 |
| Min length | 3 |
Characters and Unicode
| Total characters | 15 |
|---|---|
| Distinct characters | 4 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 2.0 |
|---|---|
| 2nd row | 2.0 |
| 3rd row | 1.0 |
| 4th row | 1.0 |
| 5th row | 2.0 |
Common Values
| Value | Count | Frequency (%) |
| 2.0 | 3 | 15.0% |
| 1.0 | 2 | 10.0% |
| (Missing) | 15 |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 2.0 | 3 | |
| 1.0 | 2 |
Most occurring characters
| Value | Count | Frequency (%) |
| . | 5 | |
| 0 | 5 | |
| 2 | 3 | |
| 1 | 2 | 13.3% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 15 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| . | 5 | |
| 0 | 5 | |
| 2 | 3 | |
| 1 | 2 | 13.3% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 15 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| . | 5 | |
| 0 | 5 | |
| 2 | 3 | |
| 1 | 2 | 13.3% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 15 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| . | 5 | |
| 0 | 5 | |
| 2 | 3 | |
| 1 | 2 | 13.3% |
FGC-FGC_PU
Real number (ℝ)
HIGH CORRELATION MISSING ZEROS
| Distinct | 6 |
|---|---|
| Distinct (%) | 46.2% |
| Missing | 7 |
| Missing (%) | 35.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 4 |
| Minimum | 0 |
|---|---|
| Maximum | 20 |
| Zeros | 6 |
| Zeros (%) | 30.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 288.0 B |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 2 |
| Q3 | 6 |
| 95-th percentile | 12.2 |
| Maximum | 20 |
| Range | 20 |
| Interquartile range (IQR) | 6 |
Descriptive statistics
| Standard deviation | 5.6273143 |
|---|---|
| Coefficient of variation (CV) | 1.4068286 |
| Kurtosis | 5.3218655 |
| Mean | 4 |
| Median Absolute Deviation (MAD) | 2 |
| Skewness | 2.0824606 |
| Sum | 52 |
| Variance | 31.666667 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=6)
| Value | Count | Frequency (%) |
| 0 | 6 | |
| 5 | 2 | 10.0% |
| 7 | 2 | 10.0% |
| 6 | 1 | 5.0% |
| 2 | 1 | 5.0% |
| 20 | 1 | 5.0% |
| (Missing) | 7 |
| Value | Count | Frequency (%) |
| 0 | 6 | |
| 2 | 1 | 5.0% |
| 5 | 2 | 10.0% |
| 6 | 1 | 5.0% |
| 7 | 2 | 10.0% |
| 20 | 1 | 5.0% |
| Value | Count | Frequency (%) |
| 20 | 1 | 5.0% |
| 7 | 2 | 10.0% |
| 6 | 1 | 5.0% |
| 5 | 2 | 10.0% |
| 2 | 1 | 5.0% |
| 0 | 6 |
FGC-FGC_PU_Zone
Categorical
HIGH CORRELATION MISSING
| Distinct | 2 |
|---|---|
| Distinct (%) | 15.4% |
| Missing | 7 |
| Missing (%) | 35.0% |
| Memory size | 1.3 KiB |
| 0.0 | |
|---|---|
| 1.0 |
Length
| Max length | 3 |
|---|---|
| Median length | 3 |
| Mean length | 3 |
| Min length | 3 |
Characters and Unicode
| Total characters | 39 |
|---|---|
| Distinct characters | 3 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0.0 |
|---|---|
| 2nd row | 0.0 |
| 3rd row | 1.0 |
| 4th row | 0.0 |
| 5th row | 0.0 |
Common Values
| Value | Count | Frequency (%) |
| 0.0 | 11 | |
| 1.0 | 2 | 10.0% |
| (Missing) | 7 |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0.0 | 11 | |
| 1.0 | 2 | 15.4% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 24 | |
| . | 13 | |
| 1 | 2 | 5.1% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 39 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 0 | 24 | |
| . | 13 | |
| 1 | 2 | 5.1% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 39 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 0 | 24 | |
| . | 13 | |
| 1 | 2 | 5.1% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 39 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 0 | 24 | |
| . | 13 | |
| 1 | 2 | 5.1% |
FGC-FGC_SRL
Real number (ℝ)
HIGH CORRELATION MISSING ZEROS
| Distinct | 8 |
|---|---|
| Distinct (%) | 61.5% |
| Missing | 7 |
| Missing (%) | 35.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 7.5 |
| Minimum | 0 |
|---|---|
| Maximum | 12 |
| Zeros | 2 |
| Zeros (%) | 10.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 288.0 B |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 7 |
| median | 8 |
| Q3 | 10.5 |
| 95-th percentile | 11.4 |
| Maximum | 12 |
| Range | 12 |
| Interquartile range (IQR) | 3.5 |
Descriptive statistics
| Standard deviation | 4 |
|---|---|
| Coefficient of variation (CV) | 0.53333333 |
| Kurtosis | 0.030144709 |
| Mean | 7.5 |
| Median Absolute Deviation (MAD) | 2.5 |
| Skewness | -1.0029297 |
| Sum | 97.5 |
| Variance | 16 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=8)
| Value | Count | Frequency (%) |
| 7 | 3 | |
| 11 | 2 | 10.0% |
| 10 | 2 | 10.0% |
| 0 | 2 | 10.0% |
| 8 | 1 | 5.0% |
| 12 | 1 | 5.0% |
| 10.5 | 1 | 5.0% |
| 4 | 1 | 5.0% |
| (Missing) | 7 |
| Value | Count | Frequency (%) |
| 0 | 2 | |
| 4 | 1 | 5.0% |
| 7 | 3 | |
| 8 | 1 | 5.0% |
| 10 | 2 | |
| 10.5 | 1 | 5.0% |
| 11 | 2 | |
| 12 | 1 | 5.0% |
| Value | Count | Frequency (%) |
| 12 | 1 | 5.0% |
| 11 | 2 | |
| 10.5 | 1 | 5.0% |
| 10 | 2 | |
| 8 | 1 | 5.0% |
| 7 | 3 | |
| 4 | 1 | 5.0% |
| 0 | 2 |
FGC-FGC_SRL_Zone
Categorical
HIGH CORRELATION MISSING
| Distinct | 2 |
|---|---|
| Distinct (%) | 15.4% |
| Missing | 7 |
| Missing (%) | 35.0% |
| Memory size | 1.3 KiB |
| 1.0 | |
|---|---|
| 0.0 |
Length
| Max length | 3 |
|---|---|
| Median length | 3 |
| Mean length | 3 |
| Min length | 3 |
Characters and Unicode
| Total characters | 39 |
|---|---|
| Distinct characters | 3 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0.0 |
|---|---|
| 2nd row | 1.0 |
| 3rd row | 1.0 |
| 4th row | 0.0 |
| 5th row | 1.0 |
Common Values
| Value | Count | Frequency (%) |
| 1.0 | 7 | |
| 0.0 | 6 | |
| (Missing) | 7 |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 1.0 | 7 | |
| 0.0 | 6 |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 19 | |
| . | 13 | |
| 1 | 7 | 17.9% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 39 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 0 | 19 | |
| . | 13 | |
| 1 | 7 | 17.9% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 39 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 0 | 19 | |
| . | 13 | |
| 1 | 7 | 17.9% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 39 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 0 | 19 | |
| . | 13 | |
| 1 | 7 | 17.9% |
FGC-FGC_SRR
Real number (ℝ)
HIGH CORRELATION MISSING ZEROS
| Distinct | 9 |
|---|---|
| Distinct (%) | 69.2% |
| Missing | 7 |
| Missing (%) | 35.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 7.9615385 |
| Minimum | 0 |
|---|---|
| Maximum | 15 |
| Zeros | 2 |
| Zeros (%) | 10.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 288.0 B |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 6 |
| median | 9.5 |
| Q3 | 11 |
| 95-th percentile | 12.6 |
| Maximum | 15 |
| Range | 15 |
| Interquartile range (IQR) | 5 |
Descriptive statistics
| Standard deviation | 4.4368792 |
|---|---|
| Coefficient of variation (CV) | 0.55728918 |
| Kurtosis | 0.0037031813 |
| Mean | 7.9615385 |
| Median Absolute Deviation (MAD) | 1.5 |
| Skewness | -0.70513368 |
| Sum | 103.5 |
| Variance | 19.685897 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=9)
| Value | Count | Frequency (%) |
| 11 | 3 | |
| 10 | 2 | 10.0% |
| 0 | 2 | 10.0% |
| 6 | 1 | 5.0% |
| 7 | 1 | 5.0% |
| 9.5 | 1 | 5.0% |
| 9 | 1 | 5.0% |
| 15 | 1 | 5.0% |
| 4 | 1 | 5.0% |
| (Missing) | 7 |
| Value | Count | Frequency (%) |
| 0 | 2 | |
| 4 | 1 | 5.0% |
| 6 | 1 | 5.0% |
| 7 | 1 | 5.0% |
| 9 | 1 | 5.0% |
| 9.5 | 1 | 5.0% |
| 10 | 2 | |
| 11 | 3 | |
| 15 | 1 | 5.0% |
| Value | Count | Frequency (%) |
| 15 | 1 | 5.0% |
| 11 | 3 | |
| 10 | 2 | |
| 9.5 | 1 | 5.0% |
| 9 | 1 | 5.0% |
| 7 | 1 | 5.0% |
| 6 | 1 | 5.0% |
| 4 | 1 | 5.0% |
| 0 | 2 |
FGC-FGC_SRR_Zone
Categorical
HIGH CORRELATION MISSING
| Distinct | 2 |
|---|---|
| Distinct (%) | 15.4% |
| Missing | 7 |
| Missing (%) | 35.0% |
| Memory size | 1.3 KiB |
| 1.0 | |
|---|---|
| 0.0 |
Length
| Max length | 3 |
|---|---|
| Median length | 3 |
| Mean length | 3 |
| Min length | 3 |
Characters and Unicode
| Total characters | 39 |
|---|---|
| Distinct characters | 3 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0.0 |
|---|---|
| 2nd row | 1.0 |
| 3rd row | 1.0 |
| 4th row | 0.0 |
| 5th row | 1.0 |
Common Values
| Value | Count | Frequency (%) |
| 1.0 | 8 | |
| 0.0 | 5 | |
| (Missing) | 7 |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 1.0 | 8 | |
| 0.0 | 5 |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 18 | |
| . | 13 | |
| 1 | 8 |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 39 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 0 | 18 | |
| . | 13 | |
| 1 | 8 |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 39 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 0 | 18 | |
| . | 13 | |
| 1 | 8 |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 39 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 0 | 18 | |
| . | 13 | |
| 1 | 8 |
FGC-FGC_TL
Real number (ℝ)
HIGH CORRELATION MISSING
| Distinct | 10 |
|---|---|
| Distinct (%) | 76.9% |
| Missing | 7 |
| Missing (%) | 35.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 7.9615385 |
| Minimum | 3 |
|---|---|
| Maximum | 12.5 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 288.0 B |
Quantile statistics
| Minimum | 3 |
|---|---|
| 5-th percentile | 3.6 |
| Q1 | 6 |
| median | 7 |
| Q3 | 11 |
| 95-th percentile | 12.2 |
| Maximum | 12.5 |
| Range | 9.5 |
| Interquartile range (IQR) | 5 |
Descriptive statistics
| Standard deviation | 3.1521259 |
|---|---|
| Coefficient of variation (CV) | 0.39591919 |
| Kurtosis | -1.1490605 |
| Mean | 7.9615385 |
| Median Absolute Deviation (MAD) | 2 |
| Skewness | 0.10654728 |
| Sum | 103.5 |
| Variance | 9.9358974 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=10)
| Value | Count | Frequency (%) |
| 7 | 3 | |
| 12 | 2 | 10.0% |
| 6 | 1 | 5.0% |
| 3 | 1 | 5.0% |
| 5 | 1 | 5.0% |
| 8 | 1 | 5.0% |
| 11 | 1 | 5.0% |
| 4 | 1 | 5.0% |
| 12.5 | 1 | 5.0% |
| 9 | 1 | 5.0% |
| (Missing) | 7 |
| Value | Count | Frequency (%) |
| 3 | 1 | 5.0% |
| 4 | 1 | 5.0% |
| 5 | 1 | 5.0% |
| 6 | 1 | 5.0% |
| 7 | 3 | |
| 8 | 1 | 5.0% |
| 9 | 1 | 5.0% |
| 11 | 1 | 5.0% |
| 12 | 2 | |
| 12.5 | 1 | 5.0% |
| Value | Count | Frequency (%) |
| 12.5 | 1 | 5.0% |
| 12 | 2 | |
| 11 | 1 | 5.0% |
| 9 | 1 | 5.0% |
| 8 | 1 | 5.0% |
| 7 | 3 | |
| 6 | 1 | 5.0% |
| 5 | 1 | 5.0% |
| 4 | 1 | 5.0% |
| 3 | 1 | 5.0% |
FGC-FGC_TL_Zone
Categorical
HIGH CORRELATION MISSING
| Distinct | 2 |
|---|---|
| Distinct (%) | 15.4% |
| Missing | 7 |
| Missing (%) | 35.0% |
| Memory size | 1.3 KiB |
| 1.0 | |
|---|---|
| 0.0 |
Length
| Max length | 3 |
|---|---|
| Median length | 3 |
| Mean length | 3 |
| Min length | 3 |
Characters and Unicode
| Total characters | 39 |
|---|---|
| Distinct characters | 3 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 1.0 |
|---|---|
| 2nd row | 0.0 |
| 3rd row | 0.0 |
| 4th row | 1.0 |
| 5th row | 0.0 |
Common Values
| Value | Count | Frequency (%) |
| 1.0 | 9 | |
| 0.0 | 4 | |
| (Missing) | 7 |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 1.0 | 9 | |
| 0.0 | 4 |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 17 | |
| . | 13 | |
| 1 | 9 |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 39 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 0 | 17 | |
| . | 13 | |
| 1 | 9 |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 39 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 0 | 17 | |
| . | 13 | |
| 1 | 9 |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 39 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 0 | 17 | |
| . | 13 | |
| 1 | 9 |
BIA-Season
Categorical
HIGH CORRELATION MISSING
| Distinct | 3 |
|---|---|
| Distinct (%) | 37.5% |
| Missing | 12 |
| Missing (%) | 60.0% |
| Memory size | 1.3 KiB |
| Fall | |
|---|---|
| Winter | |
| Summer |
Length
| Max length | 6 |
|---|---|
| Median length | 6 |
| Mean length | 5.25 |
| Min length | 4 |
Characters and Unicode
| Total characters | 42 |
|---|---|
| Distinct characters | 12 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Fall |
|---|---|
| 2nd row | Winter |
| 3rd row | Summer |
| 4th row | Summer |
| 5th row | Fall |
Common Values
| Value | Count | Frequency (%) |
| Fall | 3 | 15.0% |
| Winter | 3 | 15.0% |
| Summer | 2 | 10.0% |
| (Missing) | 12 |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| fall | 3 | |
| winter | 3 | |
| summer | 2 |
Most occurring characters
| Value | Count | Frequency (%) |
| l | 6 | |
| e | 5 | |
| r | 5 | |
| m | 4 | |
| F | 3 | |
| a | 3 | |
| W | 3 | |
| i | 3 | |
| n | 3 | |
| t | 3 | |
| Other values (2) | 4 |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 42 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| l | 6 | |
| e | 5 | |
| r | 5 | |
| m | 4 | |
| F | 3 | |
| a | 3 | |
| W | 3 | |
| i | 3 | |
| n | 3 | |
| t | 3 | |
| Other values (2) | 4 |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 42 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| l | 6 | |
| e | 5 | |
| r | 5 | |
| m | 4 | |
| F | 3 | |
| a | 3 | |
| W | 3 | |
| i | 3 | |
| n | 3 | |
| t | 3 | |
| Other values (2) | 4 |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 42 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| l | 6 | |
| e | 5 | |
| r | 5 | |
| m | 4 | |
| F | 3 | |
| a | 3 | |
| W | 3 | |
| i | 3 | |
| n | 3 | |
| t | 3 | |
| Other values (2) | 4 |
BIA-BIA_Activity_Level_num
Categorical
HIGH CORRELATION MISSING
| Distinct | 3 |
|---|---|
| Distinct (%) | 37.5% |
| Missing | 12 |
| Missing (%) | 60.0% |
| Memory size | 1.2 KiB |
| 2.0 | |
|---|---|
| 3.0 | |
| 5.0 |
Length
| Max length | 3 |
|---|---|
| Median length | 3 |
| Mean length | 3 |
| Min length | 3 |
Characters and Unicode
| Total characters | 24 |
|---|---|
| Distinct characters | 5 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 1 ? |
|---|---|
| Unique (%) | 12.5% |
Sample
| 1st row | 2.0 |
|---|---|
| 2nd row | 2.0 |
| 3rd row | 3.0 |
| 4th row | 2.0 |
| 5th row | 2.0 |
Common Values
| Value | Count | Frequency (%) |
| 2.0 | 5 | |
| 3.0 | 2 | 10.0% |
| 5.0 | 1 | 5.0% |
| (Missing) | 12 |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 2.0 | 5 | |
| 3.0 | 2 | 25.0% |
| 5.0 | 1 | 12.5% |
Most occurring characters
| Value | Count | Frequency (%) |
| . | 8 | |
| 0 | 8 | |
| 2 | 5 | |
| 3 | 2 | 8.3% |
| 5 | 1 | 4.2% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 24 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| . | 8 | |
| 0 | 8 | |
| 2 | 5 | |
| 3 | 2 | 8.3% |
| 5 | 1 | 4.2% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 24 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| . | 8 | |
| 0 | 8 | |
| 2 | 5 | |
| 3 | 2 | 8.3% |
| 5 | 1 | 4.2% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 24 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| . | 8 | |
| 0 | 8 | |
| 2 | 5 | |
| 3 | 2 | 8.3% |
| 5 | 1 | 4.2% |
BIA-BIA_BMC
Real number (ℝ)
HIGH CORRELATION MISSING
| Distinct | 8 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 12 |
| Missing (%) | 60.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 3.63636 |
| Minimum | 2.57949 |
|---|---|
| Maximum | 5.08025 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 288.0 B |
Quantile statistics
| Minimum | 2.57949 |
|---|---|
| 5-th percentile | 2.610661 |
| Q1 | 2.7299 |
| median | 3.81231 |
| Q3 | 4.125535 |
| 95-th percentile | 4.8177885 |
| Maximum | 5.08025 |
| Range | 2.50076 |
| Interquartile range (IQR) | 1.395635 |
Descriptive statistics
| Standard deviation | 0.8980872 |
|---|---|
| Coefficient of variation (CV) | 0.24697423 |
| Kurtosis | -1.024571 |
| Mean | 3.63636 |
| Median Absolute Deviation (MAD) | 0.790005 |
| Skewness | 0.17049005 |
| Sum | 29.09088 |
| Variance | 0.80656063 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=8)
| Value | Count | Frequency (%) |
| 2.66855 | 1 | 5.0% |
| 2.57949 | 1 | 5.0% |
| 3.84191 | 1 | 5.0% |
| 4.33036 | 1 | 5.0% |
| 3.78271 | 1 | 5.0% |
| 4.05726 | 1 | 5.0% |
| 5.08025 | 1 | 5.0% |
| 2.75035 | 1 | 5.0% |
| (Missing) | 12 |
| Value | Count | Frequency (%) |
| 2.57949 | 1 | |
| 2.66855 | 1 | |
| 2.75035 | 1 | |
| 3.78271 | 1 | |
| 3.84191 | 1 | |
| 4.05726 | 1 | |
| 4.33036 | 1 | |
| 5.08025 | 1 |
| Value | Count | Frequency (%) |
| 5.08025 | 1 | |
| 4.33036 | 1 | |
| 4.05726 | 1 | |
| 3.84191 | 1 | |
| 3.78271 | 1 | |
| 2.75035 | 1 | |
| 2.66855 | 1 | |
| 2.57949 | 1 |
BIA-BIA_BMI
Real number (ℝ)
HIGH CORRELATION MISSING
| Distinct | 8 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 12 |
| Missing (%) | 60.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 19.284788 |
| Minimum | 14.0371 |
|---|---|
| Maximum | 30.1865 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 288.0 B |
Quantile statistics
| Minimum | 14.0371 |
|---|---|
| 5-th percentile | 15.0262 |
| Q1 | 16.875175 |
| median | 17.78405 |
| Q3 | 20.017525 |
| 95-th percentile | 26.999715 |
| Maximum | 30.1865 |
| Range | 16.1494 |
| Interquartile range (IQR) | 3.14235 |
Descriptive statistics
| Standard deviation | 4.8760772 |
|---|---|
| Coefficient of variation (CV) | 0.25284578 |
| Kurtosis | 4.1845715 |
| Mean | 19.284788 |
| Median Absolute Deviation (MAD) | 1.3999 |
| Skewness | 1.8397185 |
| Sum | 154.2783 |
| Variance | 23.776129 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=8)
| Value | Count | Frequency (%) |
| 16.8792 | 1 | 5.0% |
| 14.0371 | 1 | 5.0% |
| 18.2943 | 1 | 5.0% |
| 30.1865 | 1 | 5.0% |
| 19.6629 | 1 | 5.0% |
| 16.8631 | 1 | 5.0% |
| 21.0814 | 1 | 5.0% |
| 17.2738 | 1 | 5.0% |
| (Missing) | 12 |
| Value | Count | Frequency (%) |
| 14.0371 | 1 | |
| 16.8631 | 1 | |
| 16.8792 | 1 | |
| 17.2738 | 1 | |
| 18.2943 | 1 | |
| 19.6629 | 1 | |
| 21.0814 | 1 | |
| 30.1865 | 1 |
| Value | Count | Frequency (%) |
| 30.1865 | 1 | |
| 21.0814 | 1 | |
| 19.6629 | 1 | |
| 18.2943 | 1 | |
| 17.2738 | 1 | |
| 16.8792 | 1 | |
| 16.8631 | 1 | |
| 14.0371 | 1 |
BIA-BIA_BMR
Real number (ℝ)
HIGH CORRELATION MISSING
| Distinct | 8 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 12 |
| Missing (%) | 60.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 1111.248 |
| Minimum | 932.498 |
|---|---|
| Maximum | 1330.97 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 288.0 B |
Quantile statistics
| Minimum | 932.498 |
|---|---|
| 5-th percentile | 933.9533 |
| Q1 | 986.4665 |
| median | 1133.645 |
| Q3 | 1194.895 |
| 95-th percentile | 1298.9415 |
| Maximum | 1330.97 |
| Range | 398.472 |
| Interquartile range (IQR) | 208.4285 |
Descriptive statistics
| Standard deviation | 143.72488 |
|---|---|
| Coefficient of variation (CV) | 0.12933646 |
| Kurtosis | -1.1147856 |
| Mean | 1111.248 |
| Median Absolute Deviation (MAD) | 118.195 |
| Skewness | 0.049059736 |
| Sum | 8889.984 |
| Variance | 20656.841 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=8)
| Value | Count | Frequency (%) |
| 932.498 | 1 | 5.0% |
| 936.656 | 1 | 5.0% |
| 1131.43 | 1 | 5.0% |
| 1330.97 | 1 | 5.0% |
| 1135.86 | 1 | 5.0% |
| 1180.04 | 1 | 5.0% |
| 1239.46 | 1 | 5.0% |
| 1003.07 | 1 | 5.0% |
| (Missing) | 12 |
| Value | Count | Frequency (%) |
| 932.498 | 1 | |
| 936.656 | 1 | |
| 1003.07 | 1 | |
| 1131.43 | 1 | |
| 1135.86 | 1 | |
| 1180.04 | 1 | |
| 1239.46 | 1 | |
| 1330.97 | 1 |
| Value | Count | Frequency (%) |
| 1330.97 | 1 | |
| 1239.46 | 1 | |
| 1180.04 | 1 | |
| 1135.86 | 1 | |
| 1131.43 | 1 | |
| 1003.07 | 1 | |
| 936.656 | 1 | |
| 932.498 | 1 |
BIA-BIA_DEE
Real number (ℝ)
HIGH CORRELATION MISSING
| Distinct | 8 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 12 |
| Missing (%) | 60.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 1886.9125 |
| Minimum | 1492 |
|---|---|
| Maximum | 2974.71 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 288.0 B |
Quantile statistics
| Minimum | 1492 |
|---|---|
| 5-th percentile | 1494.3275 |
| Q1 | 1503.12 |
| median | 1852.72 |
| Q3 | 1941.6925 |
| 95-th percentile | 2632.319 |
| Maximum | 2974.71 |
| Range | 1482.71 |
| Interquartile range (IQR) | 438.5725 |
Descriptive statistics
| Standard deviation | 486.14094 |
|---|---|
| Coefficient of variation (CV) | 0.2576383 |
| Kurtosis | 4.1161789 |
| Mean | 1886.9125 |
| Median Absolute Deviation (MAD) | 245.92 |
| Skewness | 1.8439436 |
| Sum | 15095.3 |
| Variance | 236333.01 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=8)
| Value | Count | Frequency (%) |
| 1492 | 1 | 5.0% |
| 1498.65 | 1 | 5.0% |
| 1923.44 | 1 | 5.0% |
| 1996.45 | 1 | 5.0% |
| 1817.38 | 1 | 5.0% |
| 1888.06 | 1 | 5.0% |
| 2974.71 | 1 | 5.0% |
| 1504.61 | 1 | 5.0% |
| (Missing) | 12 |
| Value | Count | Frequency (%) |
| 1492 | 1 | |
| 1498.65 | 1 | |
| 1504.61 | 1 | |
| 1817.38 | 1 | |
| 1888.06 | 1 | |
| 1923.44 | 1 | |
| 1996.45 | 1 | |
| 2974.71 | 1 |
| Value | Count | Frequency (%) |
| 2974.71 | 1 | |
| 1996.45 | 1 | |
| 1923.44 | 1 | |
| 1888.06 | 1 | |
| 1817.38 | 1 | |
| 1504.61 | 1 | |
| 1498.65 | 1 | |
| 1492 | 1 |
BIA-BIA_ECW
Real number (ℝ)
HIGH CORRELATION MISSING
| Distinct | 8 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 12 |
| Missing (%) | 60.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 16.681051 |
| Minimum | 6.01993 |
|---|---|
| Maximum | 30.2124 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 288.0 B |
Quantile statistics
| Minimum | 6.01993 |
|---|---|
| 5-th percentile | 6.8025475 |
| Q1 | 13.423195 |
| median | 15.96 |
| Q3 | 20.450875 |
| 95-th percentile | 27.31706 |
| Maximum | 30.2124 |
| Range | 24.19247 |
| Interquartile range (IQR) | 7.02768 |
Descriptive statistics
| Standard deviation | 7.6511278 |
|---|---|
| Coefficient of variation (CV) | 0.4586718 |
| Kurtosis | 0.33937395 |
| Mean | 16.681051 |
| Median Absolute Deviation (MAD) | 4.98725 |
| Skewness | 0.35865403 |
| Sum | 133.44841 |
| Variance | 58.539756 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=8)
| Value | Count | Frequency (%) |
| 8.25598 | 1 | 5.0% |
| 6.01993 | 1 | 5.0% |
| 15.5925 | 1 | 5.0% |
| 30.2124 | 1 | 5.0% |
| 16.3275 | 1 | 5.0% |
| 21.94 | 1 | 5.0% |
| 19.9545 | 1 | 5.0% |
| 15.1456 | 1 | 5.0% |
| (Missing) | 12 |
| Value | Count | Frequency (%) |
| 6.01993 | 1 | |
| 8.25598 | 1 | |
| 15.1456 | 1 | |
| 15.5925 | 1 | |
| 16.3275 | 1 | |
| 19.9545 | 1 | |
| 21.94 | 1 | |
| 30.2124 | 1 |
| Value | Count | Frequency (%) |
| 30.2124 | 1 | |
| 21.94 | 1 | |
| 19.9545 | 1 | |
| 16.3275 | 1 | |
| 15.5925 | 1 | |
| 15.1456 | 1 | |
| 8.25598 | 1 | |
| 6.01993 | 1 |
BIA-BIA_FFM
Real number (ℝ)
HIGH CORRELATION MISSING
| Distinct | 8 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 12 |
| Missing (%) | 60.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 60.625613 |
| Minimum | 41.5862 |
|---|---|
| Maximum | 84.0285 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 288.0 B |
Quantile statistics
| Minimum | 41.5862 |
|---|---|
| 5-th percentile | 41.741215 |
| Q1 | 47.334825 |
| median | 63.01135 |
| Q3 | 69.5351 |
| 95-th percentile | 80.61733 |
| Maximum | 84.0285 |
| Range | 42.4423 |
| Interquartile range (IQR) | 22.200275 |
Descriptive statistics
| Standard deviation | 15.308597 |
|---|---|
| Coefficient of variation (CV) | 0.25251038 |
| Kurtosis | -1.1148406 |
| Mean | 60.625613 |
| Median Absolute Deviation (MAD) | 12.58945 |
| Skewness | 0.049020042 |
| Sum | 485.0049 |
| Variance | 234.35313 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=8)
| Value | Count | Frequency (%) |
| 41.5862 | 1 | 5.0% |
| 42.0291 | 1 | 5.0% |
| 62.7757 | 1 | 5.0% |
| 84.0285 | 1 | 5.0% |
| 63.247 | 1 | 5.0% |
| 67.9527 | 1 | 5.0% |
| 74.2823 | 1 | 5.0% |
| 49.1034 | 1 | 5.0% |
| (Missing) | 12 |
| Value | Count | Frequency (%) |
| 41.5862 | 1 | |
| 42.0291 | 1 | |
| 49.1034 | 1 | |
| 62.7757 | 1 | |
| 63.247 | 1 | |
| 67.9527 | 1 | |
| 74.2823 | 1 | |
| 84.0285 | 1 |
| Value | Count | Frequency (%) |
| 84.0285 | 1 | |
| 74.2823 | 1 | |
| 67.9527 | 1 | |
| 63.247 | 1 | |
| 62.7757 | 1 | |
| 49.1034 | 1 | |
| 42.0291 | 1 | |
| 41.5862 | 1 |
BIA-BIA_FFMI
Real number (ℝ)
HIGH CORRELATION MISSING
| Distinct | 8 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 12 |
| Missing (%) | 60.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 14.432937 |
| Minimum | 12.8254 |
|---|---|
| Maximum | 16.6877 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 288.0 B |
Quantile statistics
| Minimum | 12.8254 |
|---|---|
| 5-th percentile | 13.09973 |
| Q1 | 13.765575 |
| median | 14.0819 |
| Q3 | 14.939925 |
| 95-th percentile | 16.3279 |
| Maximum | 16.6877 |
| Range | 3.8623 |
| Interquartile range (IQR) | 1.17435 |
Descriptive statistics
| Standard deviation | 1.2275434 |
|---|---|
| Coefficient of variation (CV) | 0.085051528 |
| Kurtosis | 0.44959114 |
| Mean | 14.432937 |
| Median Absolute Deviation (MAD) | 0.5454 |
| Skewness | 0.85425063 |
| Sum | 115.4635 |
| Variance | 1.5068628 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=8)
| Value | Count | Frequency (%) |
| 13.8177 | 1 | 5.0% |
| 12.8254 | 1 | 5.0% |
| 14.074 | 1 | 5.0% |
| 16.6877 | 1 | 5.0% |
| 14.7 | 1 | 5.0% |
| 13.6092 | 1 | 5.0% |
| 15.6597 | 1 | 5.0% |
| 14.0898 | 1 | 5.0% |
| (Missing) | 12 |
| Value | Count | Frequency (%) |
| 12.8254 | 1 | |
| 13.6092 | 1 | |
| 13.8177 | 1 | |
| 14.074 | 1 | |
| 14.0898 | 1 | |
| 14.7 | 1 | |
| 15.6597 | 1 | |
| 16.6877 | 1 |
| Value | Count | Frequency (%) |
| 16.6877 | 1 | |
| 15.6597 | 1 | |
| 14.7 | 1 | |
| 14.0898 | 1 | |
| 14.074 | 1 | |
| 13.8177 | 1 | |
| 13.6092 | 1 | |
| 12.8254 | 1 |
BIA-BIA_FMI
Real number (ℝ)
HIGH CORRELATION MISSING
| Distinct | 8 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 12 |
| Missing (%) | 60.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 4.8518575 |
| Minimum | 1.21172 |
|---|---|
| Maximum | 13.4988 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 288.0 B |
Quantile statistics
| Minimum | 1.21172 |
|---|---|
| 5-th percentile | 1.8591185 |
| Q1 | 3.15341 |
| median | 3.73714 |
| Q3 | 5.077595 |
| 95-th percentile | 10.671797 |
| Maximum | 13.4988 |
| Range | 12.28708 |
| Interquartile range (IQR) | 1.924185 |
Descriptive statistics
| Standard deviation | 3.7282032 |
|---|---|
| Coefficient of variation (CV) | 0.7684074 |
| Kurtosis | 5.3768205 |
| Mean | 4.8518575 |
| Median Absolute Deviation (MAD) | 0.95074 |
| Skewness | 2.1457753 |
| Sum | 38.81486 |
| Variance | 13.899499 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=8)
| Value | Count | Frequency (%) |
| 3.06143 | 1 | 5.0% |
| 1.21172 | 1 | 5.0% |
| 4.22033 | 1 | 5.0% |
| 13.4988 | 1 | 5.0% |
| 4.96291 | 1 | 5.0% |
| 3.25395 | 1 | 5.0% |
| 5.42165 | 1 | 5.0% |
| 3.18407 | 1 | 5.0% |
| (Missing) | 12 |
| Value | Count | Frequency (%) |
| 1.21172 | 1 | |
| 3.06143 | 1 | |
| 3.18407 | 1 | |
| 3.25395 | 1 | |
| 4.22033 | 1 | |
| 4.96291 | 1 | |
| 5.42165 | 1 | |
| 13.4988 | 1 |
| Value | Count | Frequency (%) |
| 13.4988 | 1 | |
| 5.42165 | 1 | |
| 4.96291 | 1 | |
| 4.22033 | 1 | |
| 3.25395 | 1 | |
| 3.18407 | 1 | |
| 3.06143 | 1 | |
| 1.21172 | 1 |
BIA-BIA_Fat
Real number (ℝ)
HIGH CORRELATION MISSING
| Distinct | 8 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 12 |
| Missing (%) | 60.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 21.79939 |
| Minimum | 3.97085 |
|---|---|
| Maximum | 67.9715 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 288.0 B |
Quantile statistics
| Minimum | 3.97085 |
|---|---|
| 5-th percentile | 5.805872 |
| Q1 | 10.625893 |
| median | 17.53585 |
| Q3 | 22.444175 |
| 95-th percentile | 53.18267 |
| Maximum | 67.9715 |
| Range | 64.00065 |
| Interquartile range (IQR) | 11.818283 |
Descriptive statistics
| Standard deviation | 19.920902 |
|---|---|
| Coefficient of variation (CV) | 0.9138284 |
| Kurtosis | 5.3004522 |
| Mean | 21.79939 |
| Median Absolute Deviation (MAD) | 7.31055 |
| Skewness | 2.1542391 |
| Sum | 174.39512 |
| Variance | 396.84233 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=8)
| Value | Count | Frequency (%) |
| 9.21377 | 1 | 5.0% |
| 3.97085 | 1 | 5.0% |
| 18.8243 | 1 | 5.0% |
| 67.9715 | 1 | 5.0% |
| 21.353 | 1 | 5.0% |
| 16.2474 | 1 | 5.0% |
| 25.7177 | 1 | 5.0% |
| 11.0966 | 1 | 5.0% |
| (Missing) | 12 |
| Value | Count | Frequency (%) |
| 3.97085 | 1 | |
| 9.21377 | 1 | |
| 11.0966 | 1 | |
| 16.2474 | 1 | |
| 18.8243 | 1 | |
| 21.353 | 1 | |
| 25.7177 | 1 | |
| 67.9715 | 1 |
| Value | Count | Frequency (%) |
| 67.9715 | 1 | |
| 25.7177 | 1 | |
| 21.353 | 1 | |
| 18.8243 | 1 | |
| 16.2474 | 1 | |
| 11.0966 | 1 | |
| 9.21377 | 1 | |
| 3.97085 | 1 |
BIA-BIA_Frame_num
Categorical
HIGH CORRELATION MISSING
| Distinct | 2 |
|---|---|
| Distinct (%) | 25.0% |
| Missing | 12 |
| Missing (%) | 60.0% |
| Memory size | 1.2 KiB |
| 2.0 | |
|---|---|
| 1.0 |
Length
| Max length | 3 |
|---|---|
| Median length | 3 |
| Mean length | 3 |
| Min length | 3 |
Characters and Unicode
| Total characters | 24 |
|---|---|
| Distinct characters | 4 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 1.0 |
|---|---|
| 2nd row | 1.0 |
| 3rd row | 2.0 |
| 4th row | 2.0 |
| 5th row | 2.0 |
Common Values
| Value | Count | Frequency (%) |
| 2.0 | 5 | |
| 1.0 | 3 | 15.0% |
| (Missing) | 12 |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 2.0 | 5 | |
| 1.0 | 3 |
Most occurring characters
| Value | Count | Frequency (%) |
| . | 8 | |
| 0 | 8 | |
| 2 | 5 | |
| 1 | 3 | 12.5% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 24 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| . | 8 | |
| 0 | 8 | |
| 2 | 5 | |
| 1 | 3 | 12.5% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 24 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| . | 8 | |
| 0 | 8 | |
| 2 | 5 | |
| 1 | 3 | 12.5% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 24 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| . | 8 | |
| 0 | 8 | |
| 2 | 5 | |
| 1 | 3 | 12.5% |
BIA-BIA_ICW
Real number (ℝ)
HIGH CORRELATION MISSING
| Distinct | 8 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 12 |
| Missing (%) | 60.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 28.48675 |
| Minimum | 21.0352 |
|---|---|
| Maximum | 36.0572 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 288.0 B |
Quantile statistics
| Minimum | 21.0352 |
|---|---|
| 5-th percentile | 21.93925 |
| Q1 | 24.230725 |
| median | 29.4704 |
| Q3 | 31.398725 |
| 95-th percentile | 34.957115 |
| Maximum | 36.0572 |
| Range | 15.022 |
| Interquartile range (IQR) | 7.168 |
Descriptive statistics
| Standard deviation | 5.099449 |
|---|---|
| Coefficient of variation (CV) | 0.17901126 |
| Kurtosis | -1.031294 |
| Mean | 28.48675 |
| Median Absolute Deviation (MAD) | 4.2396 |
| Skewness | -0.077596171 |
| Sum | 227.894 |
| Variance | 26.00438 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=8)
| Value | Count | Frequency (%) |
| 24.4349 | 1 | 5.0% |
| 21.0352 | 1 | 5.0% |
| 30.4041 | 1 | 5.0% |
| 32.9141 | 1 | 5.0% |
| 30.8936 | 1 | 5.0% |
| 28.5367 | 1 | 5.0% |
| 36.0572 | 1 | 5.0% |
| 23.6182 | 1 | 5.0% |
| (Missing) | 12 |
| Value | Count | Frequency (%) |
| 21.0352 | 1 | |
| 23.6182 | 1 | |
| 24.4349 | 1 | |
| 28.5367 | 1 | |
| 30.4041 | 1 | |
| 30.8936 | 1 | |
| 32.9141 | 1 | |
| 36.0572 | 1 |
| Value | Count | Frequency (%) |
| 36.0572 | 1 | |
| 32.9141 | 1 | |
| 30.8936 | 1 | |
| 30.4041 | 1 | |
| 28.5367 | 1 | |
| 24.4349 | 1 | |
| 23.6182 | 1 | |
| 21.0352 | 1 |
BIA-BIA_LDM
Real number (ℝ)
HIGH CORRELATION MISSING
| Distinct | 8 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 12 |
| Missing (%) | 60.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 15.457795 |
| Minimum | 8.89536 |
|---|---|
| Maximum | 20.902 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 288.0 B |
Quantile statistics
| Minimum | 8.89536 |
|---|---|
| 5-th percentile | 9.400844 |
| Q1 | 13.8154 |
| median | 16.40245 |
| Q3 | 17.674625 |
| 95-th percentile | 19.980975 |
| Maximum | 20.902 |
| Range | 12.00664 |
| Interquartile range (IQR) | 3.859225 |
Descriptive statistics
| Standard deviation | 4.0211527 |
|---|---|
| Coefficient of variation (CV) | 0.26013754 |
| Kurtosis | -0.30806729 |
| Mean | 15.457795 |
| Median Absolute Deviation (MAD) | 1.64825 |
| Skewness | -0.65174517 |
| Sum | 123.66236 |
| Variance | 16.169669 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=8)
| Value | Count | Frequency (%) |
| 8.89536 | 1 | 5.0% |
| 14.974 | 1 | 5.0% |
| 16.779 | 1 | 5.0% |
| 20.902 | 1 | 5.0% |
| 16.0259 | 1 | 5.0% |
| 17.476 | 1 | 5.0% |
| 18.2705 | 1 | 5.0% |
| 10.3396 | 1 | 5.0% |
| (Missing) | 12 |
| Value | Count | Frequency (%) |
| 8.89536 | 1 | |
| 10.3396 | 1 | |
| 14.974 | 1 | |
| 16.0259 | 1 | |
| 16.779 | 1 | |
| 17.476 | 1 | |
| 18.2705 | 1 | |
| 20.902 | 1 |
| Value | Count | Frequency (%) |
| 20.902 | 1 | |
| 18.2705 | 1 | |
| 17.476 | 1 | |
| 16.779 | 1 | |
| 16.0259 | 1 | |
| 14.974 | 1 | |
| 10.3396 | 1 | |
| 8.89536 | 1 |
BIA-BIA_LST
Real number (ℝ)
HIGH CORRELATION MISSING
| Distinct | 8 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 12 |
| Missing (%) | 60.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 56.989275 |
| Minimum | 38.9177 |
|---|---|
| Maximum | 79.6982 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 288.0 B |
Quantile statistics
| Minimum | 38.9177 |
|---|---|
| 5-th percentile | 39.1039 |
| Q1 | 44.62725 |
| median | 59.19905 |
| Q3 | 65.22205 |
| 95-th percentile | 76.02453 |
| Maximum | 79.6982 |
| Range | 40.7805 |
| Interquartile range (IQR) | 20.5948 |
Descriptive statistics
| Standard deviation | 14.490362 |
|---|---|
| Coefficient of variation (CV) | 0.25426472 |
| Kurtosis | -0.97580566 |
| Mean | 56.989275 |
| Median Absolute Deviation (MAD) | 11.42445 |
| Skewness | 0.086606775 |
| Sum | 455.9142 |
| Variance | 209.97059 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=8)
| Value | Count | Frequency (%) |
| 38.9177 | 1 | 5.0% |
| 39.4497 | 1 | 5.0% |
| 58.9338 | 1 | 5.0% |
| 79.6982 | 1 | 5.0% |
| 59.4643 | 1 | 5.0% |
| 63.8954 | 1 | 5.0% |
| 69.202 | 1 | 5.0% |
| 46.3531 | 1 | 5.0% |
| (Missing) | 12 |
| Value | Count | Frequency (%) |
| 38.9177 | 1 | |
| 39.4497 | 1 | |
| 46.3531 | 1 | |
| 58.9338 | 1 | |
| 59.4643 | 1 | |
| 63.8954 | 1 | |
| 69.202 | 1 | |
| 79.6982 | 1 |
| Value | Count | Frequency (%) |
| 79.6982 | 1 | |
| 69.202 | 1 | |
| 63.8954 | 1 | |
| 59.4643 | 1 | |
| 58.9338 | 1 | |
| 46.3531 | 1 | |
| 39.4497 | 1 | |
| 38.9177 | 1 |
BIA-BIA_SMM
Real number (ℝ)
HIGH CORRELATION MISSING
| Distinct | 8 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 12 |
| Missing (%) | 60.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 25.985962 |
| Minimum | 15.4107 |
|---|---|
| Maximum | 36.2232 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 288.0 B |
Quantile statistics
| Minimum | 15.4107 |
|---|---|
| 5-th percentile | 16.85641 |
| Q1 | 19.801775 |
| median | 26.33775 |
| Q3 | 30.4211 |
| 95-th percentile | 35.92822 |
| Maximum | 36.2232 |
| Range | 20.8125 |
| Interquartile range (IQR) | 10.619325 |
Descriptive statistics
| Standard deviation | 7.4797991 |
|---|---|
| Coefficient of variation (CV) | 0.28783999 |
| Kurtosis | -1.1268635 |
| Mean | 25.985962 |
| Median Absolute Deviation (MAD) | 6.6228 |
| Skewness | 0.11224019 |
| Sum | 207.8877 |
| Variance | 55.947395 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=8)
| Value | Count | Frequency (%) |
| 19.5413 | 1 | 5.0% |
| 15.4107 | 1 | 5.0% |
| 26.4798 | 1 | 5.0% |
| 35.3804 | 1 | 5.0% |
| 26.1957 | 1 | 5.0% |
| 28.768 | 1 | 5.0% |
| 36.2232 | 1 | 5.0% |
| 19.8886 | 1 | 5.0% |
| (Missing) | 12 |
| Value | Count | Frequency (%) |
| 15.4107 | 1 | |
| 19.5413 | 1 | |
| 19.8886 | 1 | |
| 26.1957 | 1 | |
| 26.4798 | 1 | |
| 28.768 | 1 | |
| 35.3804 | 1 | |
| 36.2232 | 1 |
| Value | Count | Frequency (%) |
| 36.2232 | 1 | |
| 35.3804 | 1 | |
| 28.768 | 1 | |
| 26.4798 | 1 | |
| 26.1957 | 1 | |
| 19.8886 | 1 | |
| 19.5413 | 1 | |
| 15.4107 | 1 |
BIA-BIA_TBW
Real number (ℝ)
HIGH CORRELATION MISSING
| Distinct | 8 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 12 |
| Missing (%) | 60.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 45.167825 |
| Minimum | 27.0552 |
|---|---|
| Maximum | 63.1265 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 288.0 B |
Quantile statistics
| Minimum | 27.0552 |
|---|---|
| 5-th percentile | 29.027695 |
| Q1 | 37.245575 |
| median | 46.60885 |
| Q3 | 51.860475 |
| 95-th percentile | 60.636355 |
| Maximum | 63.1265 |
| Range | 36.0713 |
| Interquartile range (IQR) | 14.6149 |
Descriptive statistics
| Standard deviation | 11.94 |
|---|---|
| Coefficient of variation (CV) | 0.26434746 |
| Kurtosis | -0.64557314 |
| Mean | 45.167825 |
| Median Absolute Deviation (MAD) | 8.624 |
| Skewness | -0.10308024 |
| Sum | 361.3426 |
| Variance | 142.56359 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=8)
| Value | Count | Frequency (%) |
| 32.6909 | 1 | 5.0% |
| 27.0552 | 1 | 5.0% |
| 45.9966 | 1 | 5.0% |
| 63.1265 | 1 | 5.0% |
| 47.2211 | 1 | 5.0% |
| 50.4767 | 1 | 5.0% |
| 56.0118 | 1 | 5.0% |
| 38.7638 | 1 | 5.0% |
| (Missing) | 12 |
| Value | Count | Frequency (%) |
| 27.0552 | 1 | |
| 32.6909 | 1 | |
| 38.7638 | 1 | |
| 45.9966 | 1 | |
| 47.2211 | 1 | |
| 50.4767 | 1 | |
| 56.0118 | 1 | |
| 63.1265 | 1 |
| Value | Count | Frequency (%) |
| 63.1265 | 1 | |
| 56.0118 | 1 | |
| 50.4767 | 1 | |
| 47.2211 | 1 | |
| 45.9966 | 1 | |
| 38.7638 | 1 | |
| 32.6909 | 1 | |
| 27.0552 | 1 |
PAQ_A-Season
Text
CONSTANT MISSING
| Distinct | 1 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 19 |
| Missing (%) | 95.0% |
| Memory size | 799.0 B |
Length
| Max length | 6 |
|---|---|
| Median length | 6 |
| Mean length | 6 |
| Min length | 6 |
Characters and Unicode
| Total characters | 6 |
|---|---|
| Distinct characters | 5 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 1 ? |
|---|---|
| Unique (%) | 100.0% |
Sample
| 1st row | Summer |
|---|
| Value | Count | Frequency (%) |
| summer | 1 |
Most occurring characters
| Value | Count | Frequency (%) |
| m | 2 | |
| S | 1 | |
| u | 1 | |
| e | 1 | |
| r | 1 |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 6 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| m | 2 | |
| S | 1 | |
| u | 1 | |
| e | 1 | |
| r | 1 |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 6 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| m | 2 | |
| S | 1 | |
| u | 1 | |
| e | 1 | |
| r | 1 |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 6 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| m | 2 | |
| S | 1 | |
| u | 1 | |
| e | 1 | |
| r | 1 |
PAQ_A-PAQ_A_Total
Categorical
CONSTANT MISSING
| Distinct | 1 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 19 |
| Missing (%) | 95.0% |
| Memory size | 1.2 KiB |
| 1.04 |
|---|
Length
| Max length | 4 |
|---|---|
| Median length | 4 |
| Mean length | 4 |
| Min length | 4 |
Characters and Unicode
| Total characters | 4 |
|---|---|
| Distinct characters | 4 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 1 ? |
|---|---|
| Unique (%) | 100.0% |
Sample
| 1st row | 1.04 |
|---|
Common Values
| Value | Count | Frequency (%) |
| 1.04 | 1 | 5.0% |
| (Missing) | 19 |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 1.04 | 1 |
Most occurring characters
| Value | Count | Frequency (%) |
| 1 | 1 | |
| . | 1 | |
| 0 | 1 | |
| 4 | 1 |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 4 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 1 | 1 | |
| . | 1 | |
| 0 | 1 | |
| 4 | 1 |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 4 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 1 | 1 | |
| . | 1 | |
| 0 | 1 | |
| 4 | 1 |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 4 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 1 | 1 | |
| . | 1 | |
| 0 | 1 | |
| 4 | 1 |
PAQ_C-Season
Categorical
HIGH CORRELATION MISSING
| Distinct | 4 |
|---|---|
| Distinct (%) | 44.4% |
| Missing | 11 |
| Missing (%) | 55.0% |
| Memory size | 1.3 KiB |
| Fall | |
|---|---|
| Winter | |
| Spring | |
| Summer |
Length
| Max length | 6 |
|---|---|
| Median length | 6 |
| Mean length | 5.3333333 |
| Min length | 4 |
Characters and Unicode
| Total characters | 48 |
|---|---|
| Distinct characters | 14 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 1 ? |
|---|---|
| Unique (%) | 11.1% |
Sample
| 1st row | Fall |
|---|---|
| 2nd row | Summer |
| 3rd row | Winter |
| 4th row | Spring |
| 5th row | Winter |
Common Values
| Value | Count | Frequency (%) |
| Fall | 3 | 15.0% |
| Winter | 3 | 15.0% |
| Spring | 2 | 10.0% |
| Summer | 1 | 5.0% |
| (Missing) | 11 |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| fall | 3 | |
| winter | 3 | |
| spring | 2 | |
| summer | 1 | 11.1% |
Most occurring characters
| Value | Count | Frequency (%) |
| l | 6 | |
| r | 6 | |
| i | 5 | |
| n | 5 | |
| e | 4 | |
| F | 3 | |
| a | 3 | |
| W | 3 | |
| t | 3 | |
| S | 3 | |
| Other values (4) | 7 |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 48 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| l | 6 | |
| r | 6 | |
| i | 5 | |
| n | 5 | |
| e | 4 | |
| F | 3 | |
| a | 3 | |
| W | 3 | |
| t | 3 | |
| S | 3 | |
| Other values (4) | 7 |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 48 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| l | 6 | |
| r | 6 | |
| i | 5 | |
| n | 5 | |
| e | 4 | |
| F | 3 | |
| a | 3 | |
| W | 3 | |
| t | 3 | |
| S | 3 | |
| Other values (4) | 7 |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 48 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| l | 6 | |
| r | 6 | |
| i | 5 | |
| n | 5 | |
| e | 4 | |
| F | 3 | |
| a | 3 | |
| W | 3 | |
| t | 3 | |
| S | 3 | |
| Other values (4) | 7 |
PAQ_C-PAQ_C_Total
Real number (ℝ)
HIGH CORRELATION MISSING
| Distinct | 9 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 11 |
| Missing (%) | 55.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 2.3723333 |
| Minimum | 1.1 |
|---|---|
| Maximum | 4.11 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 288.0 B |
Quantile statistics
| Minimum | 1.1 |
|---|---|
| 5-th percentile | 1.148 |
| Q1 | 1.27 |
| median | 2.34 |
| Q3 | 3.02 |
| 95-th percentile | 3.934 |
| Maximum | 4.11 |
| Range | 3.01 |
| Interquartile range (IQR) | 1.75 |
Descriptive statistics
| Standard deviation | 1.0800991 |
|---|---|
| Coefficient of variation (CV) | 0.45528976 |
| Kurtosis | -1.0305984 |
| Mean | 2.3723333 |
| Median Absolute Deviation (MAD) | 1.07 |
| Skewness | 0.35286174 |
| Sum | 21.351 |
| Variance | 1.166614 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=9)
| Value | Count | Frequency (%) |
| 2.34 | 1 | 5.0% |
| 2.17 | 1 | 5.0% |
| 2.451 | 1 | 5.0% |
| 4.11 | 1 | 5.0% |
| 3.67 | 1 | 5.0% |
| 1.27 | 1 | 5.0% |
| 1.1 | 1 | 5.0% |
| 3.02 | 1 | 5.0% |
| 1.22 | 1 | 5.0% |
| (Missing) | 11 |
| Value | Count | Frequency (%) |
| 1.1 | 1 | |
| 1.22 | 1 | |
| 1.27 | 1 | |
| 2.17 | 1 | |
| 2.34 | 1 | |
| 2.451 | 1 | |
| 3.02 | 1 | |
| 3.67 | 1 | |
| 4.11 | 1 |
| Value | Count | Frequency (%) |
| 4.11 | 1 | |
| 3.67 | 1 | |
| 3.02 | 1 | |
| 2.451 | 1 | |
| 2.34 | 1 | |
| 2.17 | 1 | |
| 1.27 | 1 | |
| 1.22 | 1 | |
| 1.1 | 1 |
SDS-Season
Categorical
HIGH CORRELATION MISSING
| Distinct | 4 |
|---|---|
| Distinct (%) | 40.0% |
| Missing | 10 |
| Missing (%) | 50.0% |
| Memory size | 1.3 KiB |
| Fall | |
|---|---|
| Winter | |
| Summer | |
| Spring |
Length
| Max length | 6 |
|---|---|
| Median length | 6 |
| Mean length | 5.4 |
| Min length | 4 |
Characters and Unicode
| Total characters | 54 |
|---|---|
| Distinct characters | 14 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Fall |
|---|---|
| 2nd row | Fall |
| 3rd row | Summer |
| 4th row | Summer |
| 5th row | Winter |
Common Values
| Value | Count | Frequency (%) |
| Fall | 3 | 15.0% |
| Winter | 3 | 15.0% |
| Summer | 2 | 10.0% |
| Spring | 2 | 10.0% |
| (Missing) | 10 |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| fall | 3 | |
| winter | 3 | |
| summer | 2 | |
| spring | 2 |
Most occurring characters
| Value | Count | Frequency (%) |
| r | 7 | |
| l | 6 | |
| i | 5 | |
| n | 5 | |
| e | 5 | |
| S | 4 | |
| m | 4 | |
| F | 3 | 5.6% |
| a | 3 | 5.6% |
| W | 3 | 5.6% |
| Other values (4) | 9 |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 54 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| r | 7 | |
| l | 6 | |
| i | 5 | |
| n | 5 | |
| e | 5 | |
| S | 4 | |
| m | 4 | |
| F | 3 | 5.6% |
| a | 3 | 5.6% |
| W | 3 | 5.6% |
| Other values (4) | 9 |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 54 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| r | 7 | |
| l | 6 | |
| i | 5 | |
| n | 5 | |
| e | 5 | |
| S | 4 | |
| m | 4 | |
| F | 3 | 5.6% |
| a | 3 | 5.6% |
| W | 3 | 5.6% |
| Other values (4) | 9 |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 54 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| r | 7 | |
| l | 6 | |
| i | 5 | |
| n | 5 | |
| e | 5 | |
| S | 4 | |
| m | 4 | |
| F | 3 | 5.6% |
| a | 3 | 5.6% |
| W | 3 | 5.6% |
| Other values (4) | 9 |
SDS-SDS_Total_Raw
Real number (ℝ)
HIGH CORRELATION MISSING
| Distinct | 10 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 10 |
| Missing (%) | 50.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 36.8 |
| Minimum | 27 |
|---|---|
| Maximum | 46 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 288.0 B |
Quantile statistics
| Minimum | 27 |
|---|---|
| 5-th percentile | 28.8 |
| Q1 | 33.5 |
| median | 37.5 |
| Q3 | 39.75 |
| 95-th percentile | 44.2 |
| Maximum | 46 |
| Range | 19 |
| Interquartile range (IQR) | 6.25 |
Descriptive statistics
| Standard deviation | 5.5337349 |
|---|---|
| Coefficient of variation (CV) | 0.15037323 |
| Kurtosis | -0.010193581 |
| Mean | 36.8 |
| Median Absolute Deviation (MAD) | 3.5 |
| Skewness | -0.19061078 |
| Sum | 368 |
| Variance | 30.622222 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=10)
| Value | Count | Frequency (%) |
| 46 | 1 | 5.0% |
| 38 | 1 | 5.0% |
| 31 | 1 | 5.0% |
| 40 | 1 | 5.0% |
| 27 | 1 | 5.0% |
| 42 | 1 | 5.0% |
| 33 | 1 | 5.0% |
| 35 | 1 | 5.0% |
| 37 | 1 | 5.0% |
| 39 | 1 | 5.0% |
| (Missing) | 10 |
| Value | Count | Frequency (%) |
| 27 | 1 | |
| 31 | 1 | |
| 33 | 1 | |
| 35 | 1 | |
| 37 | 1 | |
| 38 | 1 | |
| 39 | 1 | |
| 40 | 1 | |
| 42 | 1 | |
| 46 | 1 |
| Value | Count | Frequency (%) |
| 46 | 1 | |
| 42 | 1 | |
| 40 | 1 | |
| 39 | 1 | |
| 38 | 1 | |
| 37 | 1 | |
| 35 | 1 | |
| 33 | 1 | |
| 31 | 1 | |
| 27 | 1 |
SDS-SDS_Total_T
Real number (ℝ)
HIGH CORRELATION MISSING
| Distinct | 10 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 10 |
| Missing (%) | 50.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 52.3 |
| Minimum | 40 |
|---|---|
| Maximum | 64 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 288.0 B |
Quantile statistics
| Minimum | 40 |
|---|---|
| 5-th percentile | 42.25 |
| Q1 | 47.75 |
| median | 53.5 |
| Q3 | 55.75 |
| 95-th percentile | 61.75 |
| Maximum | 64 |
| Range | 24 |
| Interquartile range (IQR) | 8 |
Descriptive statistics
| Standard deviation | 7.0245601 |
|---|---|
| Coefficient of variation (CV) | 0.13431281 |
| Kurtosis | -0.077183349 |
| Mean | 52.3 |
| Median Absolute Deviation (MAD) | 4.5 |
| Skewness | -0.17348338 |
| Sum | 523 |
| Variance | 49.344444 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=10)
| Value | Count | Frequency (%) |
| 64 | 1 | 5.0% |
| 54 | 1 | 5.0% |
| 45 | 1 | 5.0% |
| 56 | 1 | 5.0% |
| 40 | 1 | 5.0% |
| 59 | 1 | 5.0% |
| 47 | 1 | 5.0% |
| 50 | 1 | 5.0% |
| 53 | 1 | 5.0% |
| 55 | 1 | 5.0% |
| (Missing) | 10 |
| Value | Count | Frequency (%) |
| 40 | 1 | |
| 45 | 1 | |
| 47 | 1 | |
| 50 | 1 | |
| 53 | 1 | |
| 54 | 1 | |
| 55 | 1 | |
| 56 | 1 | |
| 59 | 1 | |
| 64 | 1 |
| Value | Count | Frequency (%) |
| 64 | 1 | |
| 59 | 1 | |
| 56 | 1 | |
| 55 | 1 | |
| 54 | 1 | |
| 53 | 1 | |
| 50 | 1 | |
| 47 | 1 | |
| 45 | 1 | |
| 40 | 1 |
PreInt_EduHx-Season
Categorical
HIGH CORRELATION MISSING
| Distinct | 4 |
|---|---|
| Distinct (%) | 22.2% |
| Missing | 2 |
| Missing (%) | 10.0% |
| Memory size | 1.3 KiB |
| Fall | |
|---|---|
| Spring | |
| Winter | |
| Summer |
Length
| Max length | 6 |
|---|---|
| Median length | 6 |
| Mean length | 5.3333333 |
| Min length | 4 |
Characters and Unicode
| Total characters | 96 |
|---|---|
| Distinct characters | 14 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Fall |
|---|---|
| 2nd row | Summer |
| 3rd row | Summer |
| 4th row | Winter |
| 5th row | Spring |
Common Values
| Value | Count | Frequency (%) |
| Fall | 6 | |
| Spring | 5 | |
| Winter | 4 | |
| Summer | 3 | |
| (Missing) | 2 | 10.0% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| fall | 6 | |
| spring | 5 | |
| winter | 4 | |
| summer | 3 |
Most occurring characters
| Value | Count | Frequency (%) |
| l | 12 | |
| r | 12 | |
| i | 9 | |
| n | 9 | |
| S | 8 | |
| e | 7 | |
| F | 6 | 6.2% |
| a | 6 | 6.2% |
| m | 6 | 6.2% |
| p | 5 | 5.2% |
| Other values (4) | 16 |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 96 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| l | 12 | |
| r | 12 | |
| i | 9 | |
| n | 9 | |
| S | 8 | |
| e | 7 | |
| F | 6 | 6.2% |
| a | 6 | 6.2% |
| m | 6 | 6.2% |
| p | 5 | 5.2% |
| Other values (4) | 16 |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 96 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| l | 12 | |
| r | 12 | |
| i | 9 | |
| n | 9 | |
| S | 8 | |
| e | 7 | |
| F | 6 | 6.2% |
| a | 6 | 6.2% |
| m | 6 | 6.2% |
| p | 5 | 5.2% |
| Other values (4) | 16 |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 96 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| l | 12 | |
| r | 12 | |
| i | 9 | |
| n | 9 | |
| S | 8 | |
| e | 7 | |
| F | 6 | 6.2% |
| a | 6 | 6.2% |
| m | 6 | 6.2% |
| p | 5 | 5.2% |
| Other values (4) | 16 |
PreInt_EduHx-computerinternet_hoursday
Categorical
HIGH CORRELATION MISSING
| Distinct | 4 |
|---|---|
| Distinct (%) | 25.0% |
| Missing | 4 |
| Missing (%) | 20.0% |
| Memory size | 1.3 KiB |
| 2.0 | |
|---|---|
| 0.0 | |
| 3.0 | |
| 1.0 |
Length
| Max length | 3 |
|---|---|
| Median length | 3 |
| Mean length | 3 |
| Min length | 3 |
Characters and Unicode
| Total characters | 48 |
|---|---|
| Distinct characters | 5 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 3.0 |
|---|---|
| 2nd row | 0.0 |
| 3rd row | 2.0 |
| 4th row | 0.0 |
| 5th row | 0.0 |
Common Values
| Value | Count | Frequency (%) |
| 2.0 | 6 | |
| 0.0 | 5 | |
| 3.0 | 3 | |
| 1.0 | 2 | 10.0% |
| (Missing) | 4 |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 2.0 | 6 | |
| 0.0 | 5 | |
| 3.0 | 3 | |
| 1.0 | 2 | 12.5% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 21 | |
| . | 16 | |
| 2 | 6 | 12.5% |
| 3 | 3 | 6.2% |
| 1 | 2 | 4.2% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 48 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 0 | 21 | |
| . | 16 | |
| 2 | 6 | 12.5% |
| 3 | 3 | 6.2% |
| 1 | 2 | 4.2% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 48 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 0 | 21 | |
| . | 16 | |
| 2 | 6 | 12.5% |
| 3 | 3 | 6.2% |
| 1 | 2 | 4.2% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 48 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 0 | 21 | |
| . | 16 | |
| 2 | 6 | 12.5% |
| 3 | 3 | 6.2% |
| 1 | 2 | 4.2% |
| BIA-BIA_Activity_Level_num | BIA-BIA_BMC | BIA-BIA_BMI | BIA-BIA_BMR | BIA-BIA_DEE | BIA-BIA_ECW | BIA-BIA_FFM | BIA-BIA_FFMI | BIA-BIA_FMI | BIA-BIA_Fat | BIA-BIA_Frame_num | BIA-BIA_ICW | BIA-BIA_LDM | BIA-BIA_LST | BIA-BIA_SMM | BIA-BIA_TBW | BIA-Season | Basic_Demos-Age | Basic_Demos-Enroll_Season | Basic_Demos-Sex | CGAS-CGAS_Score | CGAS-Season | FGC-FGC_CU | FGC-FGC_CU_Zone | FGC-FGC_GSD | FGC-FGC_GSD_Zone | FGC-FGC_GSND | FGC-FGC_GSND_Zone | FGC-FGC_PU | FGC-FGC_PU_Zone | FGC-FGC_SRL | FGC-FGC_SRL_Zone | FGC-FGC_SRR | FGC-FGC_SRR_Zone | FGC-FGC_TL | FGC-FGC_TL_Zone | FGC-Season | Fitness_Endurance-Max_Stage | Fitness_Endurance-Time_Mins | Fitness_Endurance-Time_Sec | PAQ_C-PAQ_C_Total | PAQ_C-Season | Physical-BMI | Physical-Diastolic_BP | Physical-HeartRate | Physical-Height | Physical-Season | Physical-Systolic_BP | Physical-Waist_Circumference | Physical-Weight | PreInt_EduHx-Season | PreInt_EduHx-computerinternet_hoursday | SDS-SDS_Total_Raw | SDS-SDS_Total_T | SDS-Season | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| BIA-BIA_Activity_Level_num | 1.000 | 0.775 | 0.000 | 0.577 | 0.688 | 0.394 | 0.577 | 0.000 | 0.000 | 0.332 | 0.294 | 0.000 | 0.000 | 0.577 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.707 | 0.707 | 0.000 | 0.000 | 1.000 | 1.000 | 1.000 | 1.000 | 0.553 | 0.913 | 0.394 | 0.365 | 0.632 | 0.365 | 0.000 | 0.000 | 0.000 | NaN | NaN | NaN | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.354 | 1.000 | 0.394 | 0.000 | 0.688 | 0.707 | 0.000 | 0.000 |
| BIA-BIA_BMC | 0.775 | 1.000 | 0.714 | 0.929 | 0.952 | 0.905 | 0.929 | 0.667 | 0.881 | 0.881 | 0.707 | 0.881 | 0.905 | 0.929 | 1.000 | 0.952 | 0.000 | 0.837 | 0.000 | 0.333 | -0.200 | 0.000 | 0.623 | 0.000 | 1.000 | 1.000 | 1.000 | 1.000 | 0.540 | 0.707 | -0.145 | 0.333 | 0.000 | 0.333 | 0.647 | 0.000 | 0.000 | NaN | NaN | NaN | 0.314 | 0.000 | 0.429 | -0.396 | -0.036 | 0.833 | 0.000 | 0.036 | 1.000 | 0.905 | 0.000 | 0.319 | -0.314 | -0.314 | 0.000 |
| BIA-BIA_BMI | 0.000 | 0.714 | 1.000 | 0.714 | 0.738 | 0.643 | 0.714 | 0.976 | 0.929 | 0.929 | 0.000 | 0.881 | 0.619 | 0.714 | 0.714 | 0.762 | 0.329 | 0.643 | 0.775 | 0.000 | -0.200 | 0.000 | 0.802 | 0.577 | 1.000 | 1.000 | 1.000 | 1.000 | 0.614 | 0.577 | 0.277 | 0.577 | 0.415 | 0.577 | 0.922 | 0.149 | 0.224 | NaN | NaN | NaN | 0.886 | 1.000 | 0.762 | -0.414 | -0.107 | 0.476 | 0.224 | 0.107 | 1.000 | 0.857 | 0.775 | 0.000 | -0.257 | -0.257 | 0.000 |
| BIA-BIA_BMR | 0.577 | 0.929 | 0.714 | 1.000 | 0.905 | 0.952 | 1.000 | 0.690 | 0.905 | 0.905 | 0.408 | 0.833 | 0.952 | 1.000 | 0.929 | 0.976 | 0.000 | 0.946 | 0.000 | 0.408 | -0.200 | 1.000 | 0.563 | 0.408 | 1.000 | 1.000 | 1.000 | 1.000 | 0.565 | 0.408 | 0.072 | 0.000 | 0.220 | 0.000 | 0.611 | 0.000 | 0.577 | NaN | NaN | NaN | 0.543 | 1.000 | 0.429 | -0.288 | -0.179 | 0.881 | 0.577 | 0.000 | 1.000 | 0.952 | 0.000 | 0.333 | -0.257 | -0.257 | 1.000 |
| BIA-BIA_DEE | 0.688 | 0.952 | 0.738 | 0.905 | 1.000 | 0.810 | 0.905 | 0.667 | 0.881 | 0.881 | 0.816 | 0.857 | 0.929 | 0.905 | 0.952 | 0.881 | 0.316 | 0.849 | 0.167 | 0.385 | -0.200 | 0.000 | 0.790 | 0.000 | 1.000 | 1.000 | 1.000 | 1.000 | 0.712 | 0.816 | 0.012 | 0.000 | 0.171 | 0.000 | 0.659 | 0.000 | 0.316 | NaN | NaN | NaN | 0.429 | 0.451 | 0.429 | -0.523 | 0.036 | 0.810 | 0.316 | 0.071 | 1.000 | 0.857 | 0.167 | 0.304 | -0.314 | -0.314 | 0.000 |
| BIA-BIA_ECW | 0.394 | 0.905 | 0.643 | 0.952 | 0.810 | 1.000 | 0.952 | 0.619 | 0.857 | 0.857 | 0.149 | 0.786 | 0.881 | 0.952 | 0.905 | 0.976 | 0.000 | 0.837 | 0.403 | 0.577 | -0.200 | 0.000 | 0.371 | 0.577 | 1.000 | 1.000 | 1.000 | 1.000 | 0.331 | 0.577 | -0.120 | 0.204 | 0.024 | 0.204 | 0.515 | 0.149 | 0.224 | NaN | NaN | NaN | 0.371 | 1.000 | 0.381 | -0.252 | -0.107 | 0.881 | 0.224 | -0.107 | 1.000 | 0.929 | 0.403 | 0.365 | -0.257 | -0.257 | 0.000 |
| BIA-BIA_FFM | 0.577 | 0.929 | 0.714 | 1.000 | 0.905 | 0.952 | 1.000 | 0.690 | 0.905 | 0.905 | 0.408 | 0.833 | 0.952 | 1.000 | 0.929 | 0.976 | 0.000 | 0.946 | 0.000 | 0.408 | -0.200 | 1.000 | 0.563 | 0.408 | 1.000 | 1.000 | 1.000 | 1.000 | 0.565 | 0.408 | 0.072 | 0.000 | 0.220 | 0.000 | 0.611 | 0.000 | 0.577 | NaN | NaN | NaN | 0.543 | 1.000 | 0.429 | -0.288 | -0.179 | 0.881 | 0.577 | 0.000 | 1.000 | 0.952 | 0.000 | 0.333 | -0.257 | -0.257 | 1.000 |
| BIA-BIA_FFMI | 0.000 | 0.667 | 0.976 | 0.690 | 0.667 | 0.619 | 0.690 | 1.000 | 0.881 | 0.881 | 0.000 | 0.810 | 0.548 | 0.690 | 0.667 | 0.738 | 0.329 | 0.606 | 0.775 | 0.000 | -0.400 | 0.000 | 0.731 | 0.577 | 1.000 | 1.000 | 1.000 | 1.000 | 0.528 | 0.577 | 0.241 | 0.577 | 0.366 | 0.577 | 0.922 | 0.149 | 0.224 | NaN | NaN | NaN | 0.886 | 1.000 | 0.857 | -0.360 | -0.143 | 0.381 | 0.224 | 0.000 | 1.000 | 0.833 | 0.775 | 0.000 | -0.143 | -0.143 | 0.000 |
| BIA-BIA_FMI | 0.000 | 0.881 | 0.929 | 0.905 | 0.881 | 0.857 | 0.905 | 0.881 | 1.000 | 1.000 | 0.292 | 0.952 | 0.833 | 0.905 | 0.881 | 0.929 | 0.236 | 0.837 | 0.677 | 0.000 | -0.200 | 0.000 | 0.743 | 0.333 | 1.000 | 1.000 | 1.000 | 1.000 | 0.614 | 0.000 | 0.193 | 0.707 | 0.342 | 0.707 | 0.838 | 0.292 | 0.000 | NaN | NaN | NaN | 0.886 | 0.000 | 0.595 | -0.342 | -0.143 | 0.738 | 0.000 | 0.179 | 1.000 | 0.976 | 0.677 | 0.000 | -0.257 | -0.257 | 0.000 |
| BIA-BIA_Fat | 0.332 | 0.881 | 0.929 | 0.905 | 0.881 | 0.857 | 0.905 | 0.881 | 1.000 | 1.000 | 0.435 | 0.952 | 0.833 | 0.905 | 0.881 | 0.929 | 0.000 | 0.837 | 0.000 | 0.333 | -0.200 | 1.000 | 0.743 | 0.456 | 1.000 | 1.000 | 1.000 | 1.000 | 0.614 | 0.707 | 0.193 | 0.000 | 0.342 | 0.000 | 0.838 | 0.000 | 0.274 | NaN | NaN | NaN | 0.886 | 0.707 | 0.595 | -0.342 | -0.143 | 0.738 | 0.274 | 0.179 | 1.000 | 0.976 | 0.000 | 0.000 | -0.257 | -0.257 | 0.000 |
| BIA-BIA_Frame_num | 0.294 | 0.707 | 0.000 | 0.408 | 0.816 | 0.149 | 0.408 | 0.000 | 0.292 | 0.435 | 1.000 | 0.408 | 0.149 | 0.408 | 0.577 | 0.408 | 0.061 | 0.596 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 1.000 | 1.000 | 1.000 | 1.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | NaN | NaN | NaN | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.577 | 0.000 | 0.000 | 1.000 | 0.577 | 0.000 | 0.000 | 0.000 | 0.177 | 0.000 |
| BIA-BIA_ICW | 0.000 | 0.881 | 0.881 | 0.833 | 0.857 | 0.786 | 0.833 | 0.810 | 0.952 | 0.952 | 0.408 | 1.000 | 0.786 | 0.833 | 0.881 | 0.881 | 0.000 | 0.812 | 0.250 | 0.408 | -0.400 | 1.000 | 0.731 | 0.408 | 1.000 | 1.000 | 1.000 | 1.000 | 0.638 | 0.408 | 0.205 | 0.000 | 0.317 | 0.000 | 0.850 | 0.408 | 0.000 | NaN | NaN | NaN | 0.771 | 0.707 | 0.452 | -0.252 | -0.107 | 0.714 | 0.000 | 0.321 | 1.000 | 0.929 | 0.250 | 0.333 | -0.371 | -0.371 | 0.000 |
| BIA-BIA_LDM | 0.000 | 0.905 | 0.619 | 0.952 | 0.929 | 0.881 | 0.952 | 0.548 | 0.833 | 0.833 | 0.149 | 0.786 | 1.000 | 0.952 | 0.905 | 0.905 | 0.000 | 0.933 | 0.403 | 0.000 | -0.200 | 1.000 | 0.587 | 0.000 | 1.000 | 0.000 | 1.000 | 0.000 | 0.687 | 0.000 | 0.108 | 0.204 | 0.268 | 0.204 | 0.467 | 0.000 | 0.371 | NaN | NaN | NaN | 0.429 | 0.565 | 0.238 | -0.378 | -0.250 | 0.952 | 0.371 | 0.036 | 1.000 | 0.857 | 0.403 | 0.000 | -0.086 | -0.086 | 0.000 |
| BIA-BIA_LST | 0.577 | 0.929 | 0.714 | 1.000 | 0.905 | 0.952 | 1.000 | 0.690 | 0.905 | 0.905 | 0.408 | 0.833 | 0.952 | 1.000 | 0.929 | 0.976 | 0.000 | 0.946 | 0.000 | 0.408 | -0.200 | 1.000 | 0.563 | 0.408 | 1.000 | 1.000 | 1.000 | 1.000 | 0.565 | 0.408 | 0.072 | 0.000 | 0.220 | 0.000 | 0.611 | 0.000 | 0.577 | NaN | NaN | NaN | 0.543 | 1.000 | 0.429 | -0.288 | -0.179 | 0.881 | 0.577 | 0.000 | 1.000 | 0.952 | 0.000 | 0.333 | -0.257 | -0.257 | 1.000 |
| BIA-BIA_SMM | 0.000 | 1.000 | 0.714 | 0.929 | 0.952 | 0.905 | 0.929 | 0.667 | 0.881 | 0.881 | 0.577 | 0.881 | 0.905 | 0.929 | 1.000 | 0.952 | 0.000 | 0.837 | 0.000 | 0.000 | -0.200 | 1.000 | 0.623 | 0.204 | 1.000 | 0.000 | 1.000 | 0.000 | 0.540 | 0.000 | -0.145 | 0.204 | 0.000 | 0.204 | 0.647 | 0.149 | 0.000 | NaN | NaN | NaN | 0.314 | 0.333 | 0.429 | -0.396 | -0.036 | 0.833 | 0.000 | 0.036 | 1.000 | 0.905 | 0.000 | 0.000 | -0.314 | -0.314 | 0.000 |
| BIA-BIA_TBW | 0.000 | 0.952 | 0.762 | 0.976 | 0.881 | 0.976 | 0.976 | 0.738 | 0.929 | 0.929 | 0.408 | 0.881 | 0.905 | 0.976 | 0.952 | 1.000 | 0.000 | 0.885 | 0.250 | 0.408 | -0.200 | 1.000 | 0.527 | 0.408 | 1.000 | 1.000 | 1.000 | 1.000 | 0.479 | 0.408 | -0.024 | 0.000 | 0.122 | 0.000 | 0.659 | 0.408 | 0.000 | NaN | NaN | NaN | 0.543 | 0.707 | 0.476 | -0.288 | -0.179 | 0.857 | 0.000 | 0.000 | 1.000 | 0.976 | 0.250 | 0.333 | -0.257 | -0.257 | 0.000 |
| BIA-Season | 0.000 | 0.000 | 0.329 | 0.000 | 0.316 | 0.000 | 0.000 | 0.329 | 0.236 | 0.000 | 0.061 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 1.000 | 0.000 | 0.398 | 0.000 | 0.000 | 0.000 | 0.577 | 0.000 | 1.000 | 1.000 | 1.000 | 1.000 | 0.511 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.806 | NaN | NaN | NaN | 0.000 | 0.167 | 0.577 | 0.250 | 0.000 | 0.000 | 0.806 | 0.000 | 1.000 | 0.408 | 0.398 | 0.316 | 0.000 | 0.000 | 0.667 |
| Basic_Demos-Age | 0.000 | 0.837 | 0.643 | 0.946 | 0.849 | 0.837 | 0.946 | 0.606 | 0.837 | 0.837 | 0.596 | 0.812 | 0.933 | 0.946 | 0.837 | 0.885 | 0.000 | 1.000 | 0.111 | 0.000 | -0.236 | 0.000 | 0.637 | 0.000 | 1.000 | 0.000 | 1.000 | 0.000 | 0.722 | 0.000 | -0.105 | 0.000 | 0.073 | 0.000 | 0.414 | 0.000 | 0.182 | 1.000 | 1.000 | 1.000 | 0.128 | 0.000 | -0.006 | -0.190 | -0.182 | 0.885 | 0.272 | 0.326 | 0.000 | 0.582 | 0.214 | 0.136 | 0.055 | 0.055 | 0.000 |
| Basic_Demos-Enroll_Season | 0.000 | 0.000 | 0.775 | 0.000 | 0.167 | 0.403 | 0.000 | 0.775 | 0.677 | 0.000 | 0.000 | 0.250 | 0.403 | 0.000 | 0.000 | 0.250 | 0.398 | 0.111 | 1.000 | 0.287 | 0.000 | 0.000 | 0.489 | 0.494 | 1.000 | 0.816 | 1.000 | 0.333 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.395 | 0.000 | 0.490 | 0.325 | 1.000 | 1.000 | 1.000 | 0.000 | 0.537 | 0.355 | 0.277 | 0.150 | 0.211 | 0.266 | 0.488 | 0.000 | 0.318 | 1.000 | 0.000 | 0.000 | 0.000 | 0.289 |
| Basic_Demos-Sex | 0.000 | 0.333 | 0.000 | 0.408 | 0.385 | 0.577 | 0.408 | 0.000 | 0.000 | 0.333 | 0.000 | 0.408 | 0.000 | 0.408 | 0.000 | 0.408 | 0.000 | 0.000 | 0.287 | 1.000 | 0.000 | 0.000 | 0.000 | 0.000 | 1.000 | 0.000 | 1.000 | 0.000 | 0.000 | 0.000 | 0.798 | 0.000 | 0.000 | 0.000 | 0.357 | 0.166 | 0.102 | 1.000 | 1.000 | 1.000 | 0.218 | 0.218 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.577 | 0.000 | 0.158 | 0.000 | 0.000 | 0.327 | 0.000 |
| CGAS-CGAS_Score | 0.707 | -0.200 | -0.200 | -0.200 | -0.200 | -0.200 | -0.200 | -0.400 | -0.200 | -0.200 | 0.000 | -0.400 | -0.200 | -0.200 | -0.200 | -0.200 | 0.000 | -0.236 | 0.000 | 0.000 | 1.000 | 0.653 | 0.056 | 0.365 | 1.000 | 1.000 | 1.000 | 1.000 | 0.000 | 0.000 | 0.028 | 0.000 | -0.248 | 0.000 | -0.453 | 0.000 | 0.000 | 1.000 | 1.000 | 1.000 | -0.316 | 0.000 | -0.382 | 0.045 | 0.638 | -0.327 | 0.000 | 0.588 | NaN | -0.546 | 0.000 | 0.000 | -0.378 | -0.378 | 0.000 |
| CGAS-Season | 0.707 | 0.000 | 0.000 | 1.000 | 0.000 | 0.000 | 1.000 | 0.000 | 0.000 | 1.000 | 0.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.653 | 1.000 | 0.000 | 0.500 | 1.000 | 1.000 | 1.000 | 1.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.167 | 1.000 | 1.000 | 1.000 | 1.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.775 | 0.577 | 0.612 | NaN | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.236 |
| FGC-FGC_CU | 0.000 | 0.623 | 0.802 | 0.563 | 0.790 | 0.371 | 0.563 | 0.731 | 0.743 | 0.743 | 0.000 | 0.731 | 0.587 | 0.563 | 0.623 | 0.527 | 0.577 | 0.637 | 0.489 | 0.000 | 0.056 | 0.000 | 1.000 | 0.479 | 1.000 | 0.577 | 1.000 | 0.577 | 0.823 | 0.674 | 0.131 | 0.000 | 0.259 | 0.000 | 0.469 | 0.000 | 0.000 | 1.000 | 1.000 | 1.000 | 0.286 | 0.707 | 0.219 | -0.307 | 0.239 | 0.540 | 0.000 | 0.288 | 0.000 | 0.440 | 0.489 | 0.000 | -0.360 | -0.360 | 0.000 |
| FGC-FGC_CU_Zone | 0.000 | 0.000 | 0.577 | 0.408 | 0.000 | 0.577 | 0.408 | 0.577 | 0.333 | 0.456 | 0.000 | 0.408 | 0.000 | 0.408 | 0.204 | 0.408 | 0.000 | 0.000 | 0.494 | 0.000 | 0.365 | 0.500 | 0.479 | 1.000 | 1.000 | 0.000 | 1.000 | 0.347 | 0.000 | 0.000 | 0.000 | 0.000 | 0.066 | 0.000 | 0.000 | 0.000 | 0.000 | 1.000 | 1.000 | 1.000 | 0.204 | 0.527 | 0.000 | 0.236 | 0.000 | 0.566 | 0.000 | 0.385 | 0.000 | 0.246 | 0.494 | 0.000 | 0.000 | 0.000 | 0.000 |
| FGC-FGC_GSD | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | NaN | NaN | NaN | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 |
| FGC-FGC_GSD_Zone | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 0.000 | 1.000 | 0.000 | 1.000 | 1.000 | 0.000 | 0.816 | 0.000 | 1.000 | 1.000 | 0.577 | 0.000 | 1.000 | 1.000 | 1.000 | 0.000 | 0.577 | 0.000 | 0.577 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | NaN | NaN | NaN | 0.000 | 0.816 | 0.000 | 0.000 | 1.000 | 0.000 | 0.000 | 0.333 | 1.000 | 1.000 | 0.816 | 0.000 | 1.000 | 1.000 | 0.000 |
| FGC-FGC_GSND | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | NaN | NaN | NaN | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 |
| FGC-FGC_GSND_Zone | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 0.000 | 1.000 | 0.000 | 1.000 | 1.000 | 0.000 | 0.333 | 0.000 | 1.000 | 1.000 | 0.577 | 0.347 | 1.000 | 0.000 | 1.000 | 1.000 | 0.000 | 0.347 | 0.000 | 0.000 | 0.577 | 0.000 | 0.000 | 0.000 | 0.000 | NaN | NaN | NaN | 0.577 | 0.333 | 0.000 | 0.000 | 1.000 | 0.347 | 0.000 | 0.333 | 1.000 | 1.000 | 0.333 | 0.000 | 1.000 | 1.000 | 0.000 |
| FGC-FGC_PU | 0.553 | 0.540 | 0.614 | 0.565 | 0.712 | 0.331 | 0.565 | 0.528 | 0.614 | 0.614 | 0.000 | 0.638 | 0.687 | 0.565 | 0.540 | 0.479 | 0.511 | 0.722 | 0.000 | 0.000 | 0.000 | 0.000 | 0.823 | 0.000 | 1.000 | 0.577 | 1.000 | 0.000 | 1.000 | 0.704 | 0.199 | 0.000 | 0.316 | 0.000 | 0.251 | 0.145 | 0.403 | 1.000 | 1.000 | 1.000 | -0.012 | 0.000 | -0.255 | -0.345 | -0.153 | 0.657 | 0.403 | 0.417 | 0.000 | 0.136 | 0.000 | 0.475 | 0.043 | 0.043 | 0.413 |
| FGC-FGC_PU_Zone | 0.913 | 0.707 | 0.577 | 0.408 | 0.816 | 0.577 | 0.408 | 0.577 | 0.000 | 0.707 | 0.000 | 0.408 | 0.000 | 0.408 | 0.000 | 0.408 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.674 | 0.000 | 1.000 | 0.000 | 1.000 | 0.347 | 0.704 | 1.000 | 0.455 | 0.000 | 0.157 | 0.000 | 0.000 | 0.000 | 0.000 | 1.000 | 1.000 | 1.000 | 0.577 | 0.385 | 0.340 | 0.318 | 0.632 | 0.340 | 0.000 | 0.215 | 1.000 | 0.674 | 0.000 | 0.173 | 0.000 | 0.000 | 0.474 |
| FGC-FGC_SRL | 0.394 | -0.145 | 0.277 | 0.072 | 0.012 | -0.120 | 0.072 | 0.241 | 0.193 | 0.193 | 0.000 | 0.205 | 0.108 | 0.072 | -0.145 | -0.024 | 0.000 | -0.105 | 0.000 | 0.798 | 0.028 | 0.000 | 0.131 | 0.000 | 1.000 | 0.577 | 1.000 | 0.000 | 0.199 | 0.455 | 1.000 | 0.798 | 0.969 | 0.632 | 0.142 | 0.000 | 0.192 | 1.000 | 1.000 | 1.000 | 0.533 | 0.000 | 0.000 | 0.561 | -0.433 | -0.186 | 0.192 | 0.206 | 0.000 | 0.042 | 0.000 | 0.000 | -0.017 | -0.017 | 0.000 |
| FGC-FGC_SRL_Zone | 0.365 | 0.333 | 0.577 | 0.000 | 0.000 | 0.204 | 0.000 | 0.577 | 0.707 | 0.000 | 0.000 | 0.000 | 0.204 | 0.000 | 0.204 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 1.000 | 0.000 | 1.000 | 0.000 | 0.000 | 0.000 | 0.798 | 1.000 | 0.674 | 0.661 | 0.000 | 0.000 | 0.000 | 1.000 | 1.000 | 1.000 | 0.149 | 0.000 | 0.000 | 0.000 | 0.151 | 0.000 | 0.000 | 0.000 | 0.577 | 0.066 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 |
| FGC-FGC_SRR | 0.632 | 0.000 | 0.415 | 0.220 | 0.171 | 0.024 | 0.220 | 0.366 | 0.342 | 0.342 | 0.000 | 0.317 | 0.268 | 0.220 | 0.000 | 0.122 | 0.000 | 0.073 | 0.000 | 0.000 | -0.248 | 0.000 | 0.259 | 0.066 | 1.000 | 0.000 | 1.000 | 0.577 | 0.316 | 0.157 | 0.969 | 0.674 | 1.000 | 0.674 | 0.215 | 0.000 | 0.248 | 1.000 | 1.000 | 1.000 | 0.610 | 0.000 | 0.061 | 0.460 | -0.502 | -0.010 | 0.248 | 0.099 | 0.000 | 0.180 | 0.000 | 0.000 | 0.111 | 0.111 | 0.172 |
| FGC-FGC_SRR_Zone | 0.365 | 0.333 | 0.577 | 0.000 | 0.000 | 0.204 | 0.000 | 0.577 | 0.707 | 0.000 | 0.000 | 0.000 | 0.204 | 0.000 | 0.204 | 0.000 | 0.000 | 0.000 | 0.395 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 1.000 | 0.000 | 1.000 | 0.000 | 0.000 | 0.000 | 0.632 | 0.661 | 0.674 | 1.000 | 0.357 | 0.000 | 0.000 | 1.000 | 1.000 | 1.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.440 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.395 | 0.000 | 0.000 | 0.000 | 0.000 |
| FGC-FGC_TL | 0.000 | 0.647 | 0.922 | 0.611 | 0.659 | 0.515 | 0.611 | 0.922 | 0.838 | 0.838 | 0.000 | 0.850 | 0.467 | 0.611 | 0.647 | 0.659 | 0.000 | 0.414 | 0.000 | 0.357 | -0.453 | 0.000 | 0.469 | 0.000 | 1.000 | 0.000 | 1.000 | 0.000 | 0.251 | 0.000 | 0.142 | 0.000 | 0.215 | 0.357 | 1.000 | 0.603 | 0.000 | 1.000 | 1.000 | 1.000 | 0.286 | 0.118 | 0.537 | -0.152 | -0.254 | 0.280 | 0.000 | -0.083 | 1.000 | 0.678 | 0.000 | 0.076 | -0.576 | -0.576 | 0.000 |
| FGC-FGC_TL_Zone | 0.000 | 0.000 | 0.149 | 0.000 | 0.000 | 0.149 | 0.000 | 0.149 | 0.292 | 0.000 | 0.000 | 0.408 | 0.000 | 0.000 | 0.149 | 0.408 | 0.000 | 0.000 | 0.490 | 0.166 | 0.000 | 0.000 | 0.000 | 0.000 | 1.000 | 0.000 | 1.000 | 0.000 | 0.145 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.603 | 1.000 | 0.174 | 1.000 | 1.000 | 1.000 | 0.000 | 0.000 | 0.293 | 0.550 | 0.000 | 0.142 | 0.174 | 0.100 | 0.577 | 0.000 | 0.490 | 0.335 | 0.000 | 0.000 | 0.218 |
| FGC-Season | 0.000 | 0.000 | 0.224 | 0.577 | 0.316 | 0.224 | 0.577 | 0.224 | 0.000 | 0.274 | 0.000 | 0.000 | 0.371 | 0.577 | 0.000 | 0.000 | 0.806 | 0.182 | 0.325 | 0.102 | 0.000 | 0.167 | 0.000 | 0.000 | 1.000 | 0.000 | 1.000 | 0.000 | 0.403 | 0.000 | 0.192 | 0.000 | 0.248 | 0.000 | 0.000 | 0.174 | 1.000 | 1.000 | 1.000 | 1.000 | 0.000 | 0.000 | 0.430 | 0.103 | 0.162 | 0.000 | 1.000 | 0.223 | 0.000 | 0.471 | 0.325 | 0.264 | 0.000 | 0.000 | 0.745 |
| Fitness_Endurance-Max_Stage | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | NaN | NaN | NaN | NaN | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 0.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 |
| Fitness_Endurance-Time_Mins | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | NaN | NaN | NaN | NaN | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 0.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 |
| Fitness_Endurance-Time_Sec | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | NaN | NaN | NaN | NaN | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 0.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 |
| PAQ_C-PAQ_C_Total | 0.000 | 0.314 | 0.886 | 0.543 | 0.429 | 0.371 | 0.543 | 0.886 | 0.886 | 0.886 | 0.000 | 0.771 | 0.429 | 0.543 | 0.314 | 0.543 | 0.000 | 0.128 | 0.000 | 0.218 | -0.316 | 1.000 | 0.286 | 0.204 | 1.000 | 0.000 | 1.000 | 0.577 | -0.012 | 0.577 | 0.533 | 0.149 | 0.610 | 0.000 | 0.286 | 0.000 | 0.000 | 1.000 | 1.000 | 1.000 | 1.000 | 0.086 | 0.810 | 0.156 | 0.000 | -0.262 | 0.000 | 0.287 | 1.000 | 0.690 | 0.000 | 0.581 | -0.464 | -0.464 | 0.000 |
| PAQ_C-Season | 0.000 | 0.000 | 1.000 | 1.000 | 0.451 | 1.000 | 1.000 | 1.000 | 0.000 | 0.707 | 0.000 | 0.707 | 0.565 | 1.000 | 0.333 | 0.707 | 0.167 | 0.000 | 0.537 | 0.218 | 0.000 | 0.000 | 0.707 | 0.527 | 1.000 | 0.816 | 1.000 | 0.333 | 0.000 | 0.385 | 0.000 | 0.000 | 0.000 | 0.000 | 0.118 | 0.000 | 0.000 | 1.000 | 1.000 | 1.000 | 0.086 | 1.000 | 0.000 | 0.586 | 0.118 | 0.000 | 0.000 | 0.386 | 1.000 | 0.000 | 0.537 | 0.000 | 1.000 | 0.316 | 0.500 |
| Physical-BMI | 0.000 | 0.429 | 0.762 | 0.429 | 0.429 | 0.381 | 0.429 | 0.857 | 0.595 | 0.595 | 0.000 | 0.452 | 0.238 | 0.429 | 0.429 | 0.476 | 0.577 | -0.006 | 0.355 | 0.000 | -0.382 | 0.000 | 0.219 | 0.000 | 1.000 | 0.000 | 1.000 | 0.000 | -0.255 | 0.340 | 0.000 | 0.000 | 0.061 | 0.000 | 0.537 | 0.293 | 0.430 | 1.000 | 1.000 | 1.000 | 0.810 | 0.000 | 1.000 | 0.023 | 0.168 | -0.206 | 0.430 | -0.433 | 0.000 | 0.610 | 0.355 | 0.278 | -0.117 | -0.117 | 0.000 |
| Physical-Diastolic_BP | 0.000 | -0.396 | -0.414 | -0.288 | -0.523 | -0.252 | -0.288 | -0.360 | -0.342 | -0.342 | 0.000 | -0.252 | -0.378 | -0.288 | -0.396 | -0.288 | 0.250 | -0.190 | 0.277 | 0.000 | 0.045 | 0.000 | -0.307 | 0.236 | 1.000 | 0.000 | 1.000 | 0.000 | -0.345 | 0.318 | 0.561 | 0.000 | 0.460 | 0.000 | -0.152 | 0.550 | 0.103 | 1.000 | 1.000 | 1.000 | 0.156 | 0.586 | 0.023 | 1.000 | 0.000 | -0.370 | 0.103 | 0.400 | 0.707 | 0.151 | 0.277 | 0.000 | -0.218 | -0.218 | 0.000 |
| Physical-HeartRate | 0.000 | -0.036 | -0.107 | -0.179 | 0.036 | -0.107 | -0.179 | -0.143 | -0.143 | -0.143 | 0.000 | -0.107 | -0.250 | -0.179 | -0.036 | -0.179 | 0.000 | -0.182 | 0.150 | 0.000 | 0.638 | 0.000 | 0.239 | 0.000 | 1.000 | 1.000 | 1.000 | 1.000 | -0.153 | 0.632 | -0.433 | 0.151 | -0.502 | 0.440 | -0.254 | 0.000 | 0.162 | 1.000 | 1.000 | 1.000 | 0.000 | 0.118 | 0.168 | 0.000 | 1.000 | -0.088 | 0.162 | 0.132 | 0.000 | -0.063 | 0.150 | 0.000 | -0.533 | -0.533 | 0.000 |
| Physical-Height | 0.000 | 0.833 | 0.476 | 0.881 | 0.810 | 0.881 | 0.881 | 0.381 | 0.738 | 0.738 | 0.577 | 0.714 | 0.952 | 0.881 | 0.833 | 0.857 | 0.000 | 0.885 | 0.211 | 0.000 | -0.327 | 0.775 | 0.540 | 0.566 | 1.000 | 0.000 | 1.000 | 0.347 | 0.657 | 0.340 | -0.186 | 0.000 | -0.010 | 0.000 | 0.280 | 0.142 | 0.000 | 1.000 | 1.000 | 1.000 | -0.262 | 0.000 | -0.206 | -0.370 | -0.088 | 1.000 | 0.000 | 0.096 | 0.000 | 0.514 | 0.211 | 0.000 | -0.167 | -0.167 | 0.192 |
| Physical-Season | 0.000 | 0.000 | 0.224 | 0.577 | 0.316 | 0.224 | 0.577 | 0.224 | 0.000 | 0.274 | 0.000 | 0.000 | 0.371 | 0.577 | 0.000 | 0.000 | 0.806 | 0.272 | 0.266 | 0.000 | 0.000 | 0.577 | 0.000 | 0.000 | 1.000 | 0.000 | 1.000 | 0.000 | 0.403 | 0.000 | 0.192 | 0.000 | 0.248 | 0.000 | 0.000 | 0.174 | 1.000 | 1.000 | 1.000 | 1.000 | 0.000 | 0.000 | 0.430 | 0.103 | 0.162 | 0.000 | 1.000 | 0.223 | 0.000 | 0.471 | 0.266 | 0.208 | 0.000 | 0.000 | 0.694 |
| Physical-Systolic_BP | 0.354 | 0.036 | 0.107 | 0.000 | 0.071 | -0.107 | 0.000 | 0.000 | 0.179 | 0.179 | 0.000 | 0.321 | 0.036 | 0.000 | 0.036 | 0.000 | 0.000 | 0.326 | 0.488 | 0.000 | 0.588 | 0.612 | 0.288 | 0.385 | 1.000 | 0.333 | 1.000 | 0.333 | 0.417 | 0.215 | 0.206 | 0.000 | 0.099 | 0.000 | -0.083 | 0.100 | 0.223 | 1.000 | 1.000 | 1.000 | 0.287 | 0.386 | -0.433 | 0.400 | 0.132 | 0.096 | 0.223 | 1.000 | 0.000 | -0.064 | 0.488 | 0.408 | -0.435 | -0.435 | 0.192 |
| Physical-Waist_Circumference | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 0.000 | 0.000 | 0.577 | NaN | NaN | 0.000 | 0.000 | 1.000 | 1.000 | 1.000 | 1.000 | 0.000 | 1.000 | 0.000 | 0.577 | 0.000 | 0.000 | 1.000 | 0.577 | 0.000 | 0.000 | 0.000 | 0.000 | 1.000 | 1.000 | 0.000 | 0.707 | 0.000 | 0.000 | 0.000 | 0.000 | 1.000 | 0.000 | 0.000 | 1.000 | 1.000 | 1.000 | 1.000 |
| Physical-Weight | 0.394 | 0.905 | 0.857 | 0.952 | 0.857 | 0.929 | 0.952 | 0.833 | 0.976 | 0.976 | 0.577 | 0.929 | 0.857 | 0.952 | 0.905 | 0.976 | 0.408 | 0.582 | 0.318 | 0.000 | -0.546 | 0.000 | 0.440 | 0.246 | 1.000 | 1.000 | 1.000 | 1.000 | 0.136 | 0.674 | 0.042 | 0.066 | 0.180 | 0.000 | 0.678 | 0.000 | 0.471 | 1.000 | 1.000 | 1.000 | 0.690 | 0.000 | 0.610 | 0.151 | -0.063 | 0.514 | 0.471 | -0.064 | 0.000 | 1.000 | 0.318 | 0.000 | -0.400 | -0.400 | 0.000 |
| PreInt_EduHx-Season | 0.000 | 0.000 | 0.775 | 0.000 | 0.167 | 0.403 | 0.000 | 0.775 | 0.677 | 0.000 | 0.000 | 0.250 | 0.403 | 0.000 | 0.000 | 0.250 | 0.398 | 0.214 | 1.000 | 0.158 | 0.000 | 0.000 | 0.489 | 0.494 | 1.000 | 0.816 | 1.000 | 0.333 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.395 | 0.000 | 0.490 | 0.325 | 1.000 | 1.000 | 1.000 | 0.000 | 0.537 | 0.355 | 0.277 | 0.150 | 0.211 | 0.266 | 0.488 | 0.000 | 0.318 | 1.000 | 0.000 | 0.000 | 0.000 | 0.289 |
| PreInt_EduHx-computerinternet_hoursday | 0.688 | 0.319 | 0.000 | 0.333 | 0.304 | 0.365 | 0.333 | 0.000 | 0.000 | 0.000 | 0.000 | 0.333 | 0.000 | 0.333 | 0.000 | 0.333 | 0.316 | 0.136 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 1.000 | 0.000 | 1.000 | 0.000 | 0.475 | 0.173 | 0.000 | 0.000 | 0.000 | 0.000 | 0.076 | 0.335 | 0.264 | 1.000 | 1.000 | 1.000 | 0.581 | 0.000 | 0.278 | 0.000 | 0.000 | 0.000 | 0.208 | 0.408 | 1.000 | 0.000 | 0.000 | 1.000 | 0.000 | 0.000 | 0.158 |
| SDS-SDS_Total_Raw | 0.707 | -0.314 | -0.257 | -0.257 | -0.314 | -0.257 | -0.257 | -0.143 | -0.257 | -0.257 | 0.000 | -0.371 | -0.086 | -0.257 | -0.314 | -0.257 | 0.000 | 0.055 | 0.000 | 0.000 | -0.378 | 0.000 | -0.360 | 0.000 | 1.000 | 1.000 | 1.000 | 1.000 | 0.043 | 0.000 | -0.017 | 0.000 | 0.111 | 0.000 | -0.576 | 0.000 | 0.000 | 1.000 | 1.000 | 1.000 | -0.464 | 1.000 | -0.117 | -0.218 | -0.533 | -0.167 | 0.000 | -0.435 | 1.000 | -0.400 | 0.000 | 0.000 | 1.000 | 1.000 | 0.000 |
| SDS-SDS_Total_T | 0.000 | -0.314 | -0.257 | -0.257 | -0.314 | -0.257 | -0.257 | -0.143 | -0.257 | -0.257 | 0.177 | -0.371 | -0.086 | -0.257 | -0.314 | -0.257 | 0.000 | 0.055 | 0.000 | 0.327 | -0.378 | 0.000 | -0.360 | 0.000 | 1.000 | 1.000 | 1.000 | 1.000 | 0.043 | 0.000 | -0.017 | 0.000 | 0.111 | 0.000 | -0.576 | 0.000 | 0.000 | 1.000 | 1.000 | 1.000 | -0.464 | 0.316 | -0.117 | -0.218 | -0.533 | -0.167 | 0.000 | -0.435 | 1.000 | -0.400 | 0.000 | 0.000 | 1.000 | 1.000 | 0.000 |
| SDS-Season | 0.000 | 0.000 | 0.000 | 1.000 | 0.000 | 0.000 | 1.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 1.000 | 0.000 | 0.000 | 0.667 | 0.000 | 0.289 | 0.000 | 0.000 | 0.236 | 0.000 | 0.000 | 1.000 | 0.000 | 1.000 | 0.000 | 0.413 | 0.474 | 0.000 | 0.000 | 0.172 | 0.000 | 0.000 | 0.218 | 0.745 | 1.000 | 1.000 | 1.000 | 0.000 | 0.500 | 0.000 | 0.000 | 0.000 | 0.192 | 0.694 | 0.192 | 1.000 | 0.000 | 0.289 | 0.158 | 0.000 | 0.000 | 1.000 |
A simple visualization of nullity by column.
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.
| id | Basic_Demos-Enroll_Season | Basic_Demos-Age | Basic_Demos-Sex | CGAS-Season | CGAS-CGAS_Score | Physical-Season | Physical-BMI | Physical-Height | Physical-Weight | Physical-Waist_Circumference | Physical-Diastolic_BP | Physical-HeartRate | Physical-Systolic_BP | Fitness_Endurance-Season | Fitness_Endurance-Max_Stage | Fitness_Endurance-Time_Mins | Fitness_Endurance-Time_Sec | FGC-Season | FGC-FGC_CU | FGC-FGC_CU_Zone | FGC-FGC_GSND | FGC-FGC_GSND_Zone | FGC-FGC_GSD | FGC-FGC_GSD_Zone | FGC-FGC_PU | FGC-FGC_PU_Zone | FGC-FGC_SRL | FGC-FGC_SRL_Zone | FGC-FGC_SRR | FGC-FGC_SRR_Zone | FGC-FGC_TL | FGC-FGC_TL_Zone | BIA-Season | BIA-BIA_Activity_Level_num | BIA-BIA_BMC | BIA-BIA_BMI | BIA-BIA_BMR | BIA-BIA_DEE | BIA-BIA_ECW | BIA-BIA_FFM | BIA-BIA_FFMI | BIA-BIA_FMI | BIA-BIA_Fat | BIA-BIA_Frame_num | BIA-BIA_ICW | BIA-BIA_LDM | BIA-BIA_LST | BIA-BIA_SMM | BIA-BIA_TBW | PAQ_A-Season | PAQ_A-PAQ_A_Total | PAQ_C-Season | PAQ_C-PAQ_C_Total | SDS-Season | SDS-SDS_Total_Raw | SDS-SDS_Total_T | PreInt_EduHx-Season | PreInt_EduHx-computerinternet_hoursday | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 00008ff9 | Fall | 5 | 0 | Winter | 51.0 | Fall | 16.877316 | 46.00 | 50.8 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Fall | 0.0 | 0.0 | NaN | NaN | NaN | NaN | 0.0 | 0.0 | 7.0 | 0.0 | 6.0 | 0.0 | 6.0 | 1.0 | Fall | 2.0 | 2.66855 | 16.8792 | 932.498 | 1492.00 | 8.25598 | 41.5862 | 13.8177 | 3.06143 | 9.21377 | 1.0 | 24.4349 | 8.89536 | 38.9177 | 19.5413 | 32.6909 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Fall | 3.0 |
| 1 | 000fd460 | Summer | 9 | 0 | NaN | NaN | Fall | 14.035590 | 48.00 | 46.0 | 22.0 | 75.0 | 70.0 | 122.0 | NaN | NaN | NaN | NaN | Fall | 3.0 | 0.0 | NaN | NaN | NaN | NaN | 5.0 | 0.0 | 11.0 | 1.0 | 11.0 | 1.0 | 3.0 | 0.0 | Winter | 2.0 | 2.57949 | 14.0371 | 936.656 | 1498.65 | 6.01993 | 42.0291 | 12.8254 | 1.21172 | 3.97085 | 1.0 | 21.0352 | 14.97400 | 39.4497 | 15.4107 | 27.0552 | NaN | NaN | Fall | 2.340 | Fall | 46.0 | 64.0 | Summer | 0.0 |
| 2 | 00105258 | Summer | 10 | 1 | Fall | 71.0 | Fall | 16.648696 | 56.50 | 75.6 | NaN | 65.0 | 94.0 | 117.0 | Fall | 5.0 | 7.0 | 33.0 | Fall | 20.0 | 1.0 | 10.2 | 1.0 | 14.7 | 2.0 | 7.0 | 1.0 | 10.0 | 1.0 | 10.0 | 1.0 | 5.0 | 0.0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Summer | 2.170 | Fall | 38.0 | 54.0 | Summer | 2.0 |
| 3 | 00115b9f | Winter | 9 | 0 | Fall | 71.0 | Summer | 18.292347 | 56.00 | 81.6 | NaN | 60.0 | 97.0 | 117.0 | Summer | 6.0 | 9.0 | 37.0 | Summer | 18.0 | 1.0 | NaN | NaN | NaN | NaN | 5.0 | 0.0 | 7.0 | 0.0 | 7.0 | 0.0 | 7.0 | 1.0 | Summer | 3.0 | 3.84191 | 18.2943 | 1131.430 | 1923.44 | 15.59250 | 62.7757 | 14.0740 | 4.22033 | 18.82430 | 2.0 | 30.4041 | 16.77900 | 58.9338 | 26.4798 | 45.9966 | NaN | NaN | Winter | 2.451 | Summer | 31.0 | 45.0 | Winter | 0.0 |
| 4 | 0016bb22 | Spring | 18 | 1 | Summer | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Summer | 1.04 | NaN | NaN | NaN | NaN | NaN | NaN | NaN |
| 5 | 001f3379 | Spring | 13 | 1 | Winter | 50.0 | Summer | 22.279952 | 59.50 | 112.2 | NaN | 60.0 | 73.0 | 102.0 | NaN | NaN | NaN | NaN | Summer | 12.0 | 0.0 | 16.5 | 2.0 | 17.9 | 2.0 | 6.0 | 0.0 | 10.0 | 1.0 | 11.0 | 1.0 | 8.0 | 0.0 | Summer | 2.0 | 4.33036 | 30.1865 | 1330.970 | 1996.45 | 30.21240 | 84.0285 | 16.6877 | 13.49880 | 67.97150 | 2.0 | 32.9141 | 20.90200 | 79.6982 | 35.3804 | 63.1265 | NaN | NaN | Spring | 4.110 | Summer | 40.0 | 56.0 | Spring | 0.0 |
| 6 | 0038ba98 | Fall | 10 | 0 | NaN | NaN | Fall | 19.660760 | 55.00 | 84.6 | NaN | 123.0 | 83.0 | 163.0 | NaN | NaN | NaN | NaN | Fall | 9.0 | 1.0 | NaN | NaN | NaN | NaN | 2.0 | 0.0 | 11.0 | 1.0 | 11.0 | 1.0 | 11.0 | 1.0 | Fall | 2.0 | 3.78271 | 19.6629 | 1135.860 | 1817.38 | 16.32750 | 63.2470 | 14.7000 | 4.96291 | 21.35300 | 2.0 | 30.8936 | 16.02590 | 59.4643 | 26.1957 | 47.2211 | NaN | NaN | Winter | 3.670 | Winter | 27.0 | 40.0 | Fall | 3.0 |
| 7 | 0068a485 | Fall | 10 | 1 | NaN | NaN | Fall | 16.861286 | 59.25 | 84.2 | 27.0 | 71.0 | 90.0 | 116.0 | NaN | NaN | NaN | NaN | Fall | 0.0 | 0.0 | 12.6 | 2.0 | 11.1 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 4.0 | 0.0 | Fall | 3.0 | 4.05726 | 16.8631 | 1180.040 | 1888.06 | 21.94000 | 67.9527 | 13.6092 | 3.25395 | 16.24740 | 2.0 | 28.5367 | 17.47600 | 63.8954 | 28.7680 | 50.4767 | NaN | NaN | Fall | 1.270 | NaN | NaN | NaN | Fall | 2.0 |
| 8 | 0069fbed | Summer | 15 | 0 | NaN | NaN | Spring | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Spring | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Summer | 2.0 |
| 9 | 0083e397 | Summer | 19 | 1 | Summer | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN |
| id | Basic_Demos-Enroll_Season | Basic_Demos-Age | Basic_Demos-Sex | CGAS-Season | CGAS-CGAS_Score | Physical-Season | Physical-BMI | Physical-Height | Physical-Weight | Physical-Waist_Circumference | Physical-Diastolic_BP | Physical-HeartRate | Physical-Systolic_BP | Fitness_Endurance-Season | Fitness_Endurance-Max_Stage | Fitness_Endurance-Time_Mins | Fitness_Endurance-Time_Sec | FGC-Season | FGC-FGC_CU | FGC-FGC_CU_Zone | FGC-FGC_GSND | FGC-FGC_GSND_Zone | FGC-FGC_GSD | FGC-FGC_GSD_Zone | FGC-FGC_PU | FGC-FGC_PU_Zone | FGC-FGC_SRL | FGC-FGC_SRL_Zone | FGC-FGC_SRR | FGC-FGC_SRR_Zone | FGC-FGC_TL | FGC-FGC_TL_Zone | BIA-Season | BIA-BIA_Activity_Level_num | BIA-BIA_BMC | BIA-BIA_BMI | BIA-BIA_BMR | BIA-BIA_DEE | BIA-BIA_ECW | BIA-BIA_FFM | BIA-BIA_FFMI | BIA-BIA_FMI | BIA-BIA_Fat | BIA-BIA_Frame_num | BIA-BIA_ICW | BIA-BIA_LDM | BIA-BIA_LST | BIA-BIA_SMM | BIA-BIA_TBW | PAQ_A-Season | PAQ_A-PAQ_A_Total | PAQ_C-Season | PAQ_C-PAQ_C_Total | SDS-Season | SDS-SDS_Total_Raw | SDS-SDS_Total_T | PreInt_EduHx-Season | PreInt_EduHx-computerinternet_hoursday | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 10 | 0087dd65 | Spring | 11 | 1 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Spring | NaN |
| 11 | 00abe655 | Fall | 11 | 0 | Summer | 66.0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Winter | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Winter | 1.10 | Winter | 42.0 | 59.0 | Fall | 0.0 |
| 12 | 00ae59c9 | Fall | 13 | 0 | NaN | NaN | Winter | 21.079065 | 57.75 | 100.0 | NaN | 63.0 | 79.0 | 150.0 | NaN | NaN | NaN | NaN | Winter | 24.0 | 1.0 | 19.2 | 1.0 | 18.4 | 1.0 | 20.0 | 1.0 | 8.0 | 1.0 | 9.5 | 1.0 | 12.5 | 1.0 | Winter | 5.0 | 5.08025 | 21.0814 | 1239.46 | 2974.71 | 19.9545 | 74.2823 | 15.6597 | 5.42165 | 25.7177 | 2.0 | 36.0572 | 18.2705 | 69.2020 | 36.2232 | 56.0118 | NaN | NaN | Fall | 3.02 | Fall | 33.0 | 47.0 | Fall | 1.0 |
| 13 | 00af6387 | Spring | 12 | 0 | NaN | NaN | Spring | 15.544111 | 60.00 | 79.6 | 24.0 | 57.0 | 71.0 | 103.0 | NaN | NaN | NaN | NaN | Spring | 10.0 | 0.0 | 22.3 | 2.0 | 21.6 | 2.0 | 7.0 | 0.0 | 7.0 | 0.0 | 9.0 | 1.0 | 12.0 | 1.0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Spring | 1.22 | NaN | NaN | NaN | Spring | NaN |
| 14 | 00bd4359 | Spring | 12 | 0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Spring | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Spring | 2.0 |
| 15 | 00c0cd71 | Winter | 7 | 0 | Summer | 51.0 | Spring | 29.315775 | 54.00 | 121.6 | NaN | 80.0 | 75.0 | 99.0 | Spring | 4.0 | 5.0 | 32.0 | Spring | 6.0 | 1.0 | NaN | NaN | NaN | NaN | 0.0 | 0.0 | 12.0 | 1.0 | 15.0 | 1.0 | 12.0 | 1.0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Spring | 35.0 | 50.0 | Winter | 2.0 |
| 16 | 00d56d4b | Spring | 5 | 1 | Summer | 80.0 | Spring | 17.284504 | 44.00 | 47.6 | NaN | 61.0 | 76.0 | 109.0 | Spring | NaN | NaN | NaN | Spring | 0.0 | 0.0 | NaN | NaN | NaN | NaN | 0.0 | 0.0 | 10.5 | 1.0 | 10.0 | 1.0 | 7.0 | 1.0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Spring | 37.0 | 53.0 | Spring | 0.0 |
| 17 | 00d9913d | Fall | 10 | 1 | NaN | NaN | Fall | 19.893157 | 55.00 | 85.6 | 30.0 | NaN | 81.0 | NaN | NaN | NaN | NaN | NaN | Fall | 5.0 | 0.0 | NaN | NaN | NaN | NaN | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 9.0 | 1.0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Fall | 1.0 |
| 18 | 00e6167c | Winter | 6 | 0 | Spring | 60.0 | Winter | 30.094649 | 37.50 | 60.2 | 24.0 | 61.0 | 91.0 | 95.0 | NaN | NaN | NaN | NaN | Winter | 6.0 | 1.0 | NaN | NaN | NaN | NaN | 0.0 | 0.0 | 4.0 | 0.0 | 4.0 | 0.0 | 7.0 | 1.0 | Winter | 2.0 | 2.75035 | 17.2738 | 1003.07 | 1504.61 | 15.1456 | 49.1034 | 14.0898 | 3.18407 | 11.0966 | 1.0 | 23.6182 | 10.3396 | 46.3531 | 19.8886 | 38.7638 | NaN | NaN | NaN | NaN | Winter | 39.0 | 55.0 | Winter | 3.0 |
| 19 | 00ebc35d | Winter | 10 | 0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Spring | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | Winter | 2.0 |